{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T19:34:15Z","timestamp":1781811255693,"version":"3.54.5"},"reference-count":293,"publisher":"MIT Press","issue":"2","content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Thirty years, 1993\u20132023, is a huge time frame in science. We address some major developments in the field of evolutionary algorithms, with applications in parameter optimization, over these 30 years. These include the covariance matrix adaptation evolution strategy and some fast-growing fields such as multimodal optimization, surrogate-assisted optimization, multiobjective optimization, and automated algorithm design. Moreover, we also discuss particle swarm optimization and differential evolution, which did not exist 30 years ago, either. One of the key arguments made in the paper is that we need fewer algorithms, not more, which, however, is the current trend through continuously claiming paradigms from nature that are suggested to be useful as new optimization algorithms. Moreover, we argue that we need proper benchmarking procedures to sort out whether a newly proposed algorithm is useful or not. We also briefly discuss automated algorithm design approaches, including configurable algorithm design frameworks, as the proposed next step toward designing optimization algorithms automatically, rather than by hand.<\/jats:p>","DOI":"10.1162\/evco_a_00325","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T15:11:43Z","timestamp":1687273903000},"page":"81-122","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":66,"title":["Evolutionary Algorithms for Parameter Optimization\u2014Thirty\n                    Years Later"],"prefix":"10.1162","volume":"31","author":[{"given":"Thomas H. W.","family":"B\u00e4ck","sequence":"first","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands t.h.w.baeck@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna V.","family":"Kononova","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands a.kononova@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bas","family":"van Stein","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands b.van.stein@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands h.wang@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirill A.","family":"Antonov","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands k.antonov@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman T.","family":"Kalkreuth","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands r.t.kalkreuth@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"de Nobel","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands j.p.de.nobel@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diederick","family":"Vermetten","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands d.l.vermetten@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roy","family":"de Winter","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands r.de.winter@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Furong","family":"Ye","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Netherlands f.ye@liacs.leidenuniv.nl"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2023,6,1]]},"reference":[{"key":"2023062015082415700_B1","first-page":"104","article-title":"Surrogate deterministic mutation:\n                        Preliminary results","volume":"2310","author":"Abboud","year":"2001","journal-title":"Artificial\n                            Evolution, 5th International Conference, Evolution Artificielle, EA\n                            2001, Le Creusot, France, October 29--31, 2001, Selected\n                        Papers"},{"key":"2023062015082415700_B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115338","article-title":"Modified multi-objective evolutionary\n                        programming algorithm for solving project scheduling\n                        problems","volume":"183","author":"Abido","year":"2021","journal-title":"Expert Systems with\n                            Applications"},{"key":"2023062015082415700_B3","doi-asserted-by":"publisher","first-page":"1633","DOI":"10.1613\/jair.1.13922","article-title":"Automated dynamic algorithm\n                        configuration","volume":"75","author":"Adriaensen","year":"2022","journal-title":"Journal of Artificial\n                            Intelligence Research"},{"key":"2023062015082415700_B4","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1145\/3205455.3205606","article-title":"Drift theory in continuous search\n                        spaces: expected hitting time of the (1 + 1)-ES with 1\/5 success\n                        rule","author":"Akimoto","year":"2018","journal-title":"Proceedings of the Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"issue":"3","key":"2023062015082415700_B5","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1162\/evco_a_00260","article-title":"Diagonal acceleration for covariance\n                        matrix adaptation evolution strategies","volume":"28","author":"Akimoto","year":"2020","journal-title":"Evolutionary Computation"},{"issue":"3","key":"2023062015082415700_B6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2996355","article-title":"A systematic literature review of\n                        adaptive parameter control methods for evolutionary\n                        algorithms","volume":"49","author":"Aleti","year":"2016","journal-title":"ACM Computing\n                        Surveys"},{"key":"2023062015082415700_B7","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1109\/CEC.1999.781978","article-title":"Genetic crossover strategy using an\n                        approximation concept","volume":"1","author":"Anderson","year":"1999","journal-title":"Proceedings of the\n                            1999 Congress on Evolutionary Computation"},{"key":"2023062015082415700_B8","first-page":"1268","article-title":"Fast mutation in crossover-based\n                        algorithms","author":"Antipov","year":"2020","journal-title":"Genetic and Evolutionary\n                            Computation Conference (GECCO)"},{"key":"2023062015082415700_B9","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1145\/3321707.3321838","article-title":"The efficiency threshold for the\n                        offspring population size of the\n                                    (\u03bc,\n                                    \u03bb)\n                        EA","author":"Antipov","year":"2019","journal-title":"Proceedings of the Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"key":"2023062015082415700_B10","first-page":"118","article-title":"High dimensional Bayesian optimization\n                        with kernel principal component analysis","author":"Antonov","year":"2022","journal-title":"International Conference on Parallel Problem Solving\n                            from Nature"},{"key":"2023062015082415700_B11","first-page":"297","article-title":"A (1+1)-CMA-ES for constrained\n                        optimisation","author":"Arnold","year":"2012","journal-title":"Genetic and Evolutionary\n                            Computation Conference (GECCO)"},{"key":"2023062015082415700_B12","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1145\/2001576.2001694","article-title":"Mirrored sampling in evolution\n                        strategies with weighted recombination","author":"Auger","year":"2011","journal-title":"Proceedings of the 13th Annual Genetic and Evolutionary\n                            Computation Conference (GECCO)"},{"key":"2023062015082415700_B13","first-page":"1769","article-title":"A restart CMA evolution strategy with\n                        increasing population size","author":"Auger","year":"2005","journal-title":"Proceedings\n                            of the IEEE Congress on Evolutionary Computation"},{"key":"2023062015082415700_B14","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1142\/9789814282673_0010","article-title":"Theory of evolution strategies: A new\n                        perspective","volume-title":"Theory of randomized search heuristics: Foundations and\n                            recent developments","author":"Auger","year":"2011"},{"key":"2023062015082415700_B15","first-page":"296","article-title":"Algorithms (x, sigma, eta): Quasi-random\n                        mutations for evolution strategies","volume":"3871","author":"Auger","year":"2005","journal-title":"Artificial Evolution, 7th International Conference,\n                            Evolution Artificielle, EA 2005, Lille, France, October 26--28, 2005,\n                            Revised Selected Papers"},{"key":"2023062015082415700_B16","first-page":"182","article-title":"LS-CMA-ES: A second-order algorithm for\n                        covariance matrix adaptation","volume":"3242","author":"Auger","year":"2004","journal-title":"Proceedings\n                            of Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B17","first-page":"418","article-title":"Parallel optimization of evolutionary\n                        algorithms","volume-title":"Proceedings of the 3rd\n                            International Conference on Parallel Problem Solving from\n                            Nature","author":"B\u00e4ck","year":"1994"},{"issue":"6","key":"2023062015082415700_B18","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1109\/TEVC.2022.3223292","article-title":"Special issue on benchmarking\n                        sampling-based optimization heuristics: Methodology and\n                        software","volume":"26","author":"B\u00e4ck","year":"2022","journal-title":"IEEE Transactions on Evolutionary\n                            Computation"},{"key":"2023062015082415700_B19","doi-asserted-by":"crossref","DOI":"10.1887\/0750308958","volume-title":"Handbook of evolutionary\n                            computation","author":"B\u00e4ck","year":"1997"},{"key":"2023062015082415700_B20","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-40137-4","volume-title":"Contemporary evolution\n                            strategies","author":"B\u00e4ck","year":"2013"},{"key":"2023062015082415700_B21","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1007\/3-540-61286-6_141","article-title":"Intelligent mutation rate control in\n                        canonical genetic algorithms","volume":"1079","author":"B\u00e4ck","year":"1996","journal-title":"Proceedings\n                            of the 9th International Symposium on Foundations of Intelligent\n                            Systems"},{"issue":"1","key":"2023062015082415700_B22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1993.1.1.1","article-title":"An overview of evolutionary algorithms\n                        for parameter optimization","volume":"1","author":"B\u00e4ck","year":"1993","journal-title":"Evolutionary\n                            Computation"},{"key":"2023062015082415700_B23","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.asoc.2017.07.060","article-title":"Self-adjusting parameter control for\n                        surrogate-assisted constrained optimization under limited\n                        budgets","volume":"61","author":"Bagheri","year":"2017","journal-title":"Applied Soft\n                        Computing"},{"key":"2023062015082415700_B24","first-page":"901","article-title":"An effective real-parameter genetic algorithm with parent\n                        centric normal crossover for multimodal optimisation","volume":"3102","author":"Ballester","year":"2004","journal-title":"Proceedings of the Genetic and Evolutionary Computation\n                            Conference (GECCO)"},{"key":"2023062015082415700_B25","article-title":"Benchmarking in optimization: Best\n                        practice and open issues","author":"Bartz-Beielstein","year":"2020","journal-title":"CoRR"},{"issue":"4","key":"2023062015082415700_B26","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1007\/s11081-017-9366-1","article-title":"Best practices for comparing\n                        optimization algorithms","volume":"18","author":"Beiranvand","year":"2017","journal-title":"Optimization and\n                            Engineering"},{"issue":"1","key":"2023062015082415700_B27","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1145\/3460310.3460312","article-title":"Nevergrad: Black-box optimization\n                        platform","volume":"14","author":"Bennet","year":"2021","journal-title":"ACM\n                    SIGEVOlution"},{"key":"2023062015082415700_B28","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-04378-3","volume-title":"The theory of evolution\n                            strategies","author":"Beyer","year":"2001"},{"issue":"1","key":"2023062015082415700_B29","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1015059928466","article-title":"Evolution strategies\u2014A\n                        comprehensive introduction","volume":"1","author":"Beyer","year":"2002","journal-title":"Natural\n                            Computing"},{"key":"2023062015082415700_B30","first-page":"427","article-title":"Dynamic algorithm configuration:\n                        Foundation of a new meta-algorithmic framework","volume":"325","author":"Biedenkapp","year":"2020","journal-title":"Proceedings of the 24th European Conference on\n                            Artificial Intelligence"},{"key":"2023062015082415700_B31","first-page":"313","article-title":"Algorithm selection based on exploratory\n                        landscape analysis and cost-sensitive learning","author":"Bischl","year":"2012","journal-title":"Genetic and Evolutionary Computation Conference\n                            (GECCO)"},{"key":"2023062015082415700_B32","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/978-3-030-72062-9_21","article-title":"Constrained bi-objective\n                        surrogate-assisted optimization of problems with heterogeneous evaluation\n                        times: Expensive objectives and inexpensive constraints","volume":"12654","author":"Blank","year":"2021","journal-title":"Proceedings of the 11th International Conference on\n                            Evolutionary Multi-Criterion Optimization"},{"key":"2023062015082415700_B33","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1145\/3449726.3463214","article-title":"Quantifying the impact of boundary\n                        constraint handling methods on differential evolution","author":"Boks","year":"2021","journal-title":"Proceedings of the 2021 Genetic and Evolutionary\n                            Computation Conference Companion (GECCO)"},{"key":"2023062015082415700_B34","first-page":"1418","article-title":"A modular hybridization of particle\n                        swarm optimization and differential evolution","author":"Boks","year":"2020","journal-title":"Genetic and Evolutionary Computation Conference\n                            Companion (GECCO)"},{"key":"2023062015082415700_B35","first-page":"359","article-title":"More concise and robust linkage learning\n                        by filtering and combining linkage hierarchies","author":"Bosman","year":"2013","journal-title":"Genetic and Evolutionary Computation Conference\n                            (GECCO)"},{"key":"2023062015082415700_B36","first-page":"1","article-title":"Optimal fixed and adaptive mutation\n                        rates for the LeadingOnes problem","volume":"6238","author":"B\u00f6ttcher","year":"2010","journal-title":"Proceedings of the 11th International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B37","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1145\/3071178.3071272","article-title":"Exploiting linkage information in real-valued optimization\n                        with the real-valued gene-pool optimal mixing evolutionary\n                        algorithm","author":"Bouter","year":"2017","journal-title":"Proceedings of the Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"key":"2023062015082415700_B38","first-page":"1","article-title":"Parameters tell the design story:\n                        Ideation and abstraction in design optimization","author":"Bradner","year":"2014"},{"key":"2023062015082415700_B39","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1007\/978-3-540-69134-1_26","article-title":"A multi-cellular developmental system in\n                        continuous space using cell migration","volume":"5040","author":"Bred\u00e8che","year":"2008","journal-title":"Tenth International Conference on Simulation of Adaptive\n                            Behavior, From Animals to Animats"},{"key":"2023062015082415700_B40","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1007\/s10489-007-0091-x","article-title":"Population size reduction for the differential evolution\n                        algorithm","volume":"29","author":"Brest","year":"2008","journal-title":"Applied\n                        Intelligence"},{"key":"2023062015082415700_B41","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/978-3-642-01799-5_6","article-title":"Exploring hyper-heuristic methodologies with genetic\n                        programming","author":"Burke","year":"2009","journal-title":"Computational Intelligence: Collaboration, Fusion and\n                            Emergence"},{"key":"2023062015082415700_B42","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/978-3-030-60376-2_10","article-title":"Grey wolf, firefly and bat algorithms:\n                        Three widespread algorithms that do not contain any novelty","author":"Camacho Villal\u00f3n","year":"2020","journal-title":"International Conference on Swarm\n                        Intelligence"},{"key":"2023062015082415700_B43","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2022.105747","article-title":"An analysis of why cuckoo search does\n                        not bring any novel ideas to optimization","volume":"142","author":"Camacho-Villal\u00f3n","year":"2022","journal-title":"Computers\n                                        &\n                            Operations Research"},{"issue":"3","key":"2023062015082415700_B44","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1109\/TEVC.2021.3102863","article-title":"PSO-X: A component-based framework for\n                        the automatic design of particle swarm optimization\n                        algorithms","volume":"26","author":"Camacho-Villal\u00f3n","year":"2022","journal-title":"IEEE Transactions on\n                            Evolutionary Computation"},{"key":"2023062015082415700_B45","article-title":"EC Bestiary: A bestiary of evolutionary,\n                        swarm and other metaphor-based algorithms","author":"Campelo","year":"2018"},{"key":"2023062015082415700_B46","article-title":"Sharks, zombies and volleyball: Lessons from the evolutionary\n                        computation bestiary","volume":"3007","author":"Campelo","year":"2021","journal-title":"Proceedings of the\n                            CEUR Workshop"},{"key":"2023062015082415700_B47","first-page":"1","article-title":"Analysis and enhancement of simulated\n                        binary crossover","author":"Chac\u00f3n","year":"2018","journal-title":"Proceedings of the IEEE\n                            Congress on Evolutionary Computation"},{"key":"2023062015082415700_B48","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/978-3-030-66515-9_4","article-title":"Quality-diversity optimization: a novel\n                        branch of stochastic optimization","volume-title":"Black\n                            box optimization, machine learning, and no-free lunch\n                        theorems","author":"Chatzilygeroudis","year":"2021"},{"issue":"9","key":"2023062015082415700_B49","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1109\/5.784222","article-title":"Evolution, neural networks, games, and\n                        intelligence","volume":"87","author":"Chellapilla","year":"1999","journal-title":"Proceedings of the\n                            IEEE"},{"issue":"6","key":"2023062015082415700_B50","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/72.809083","article-title":"Evolving neural networks to play checkers without relying on\n                        expert knowledge","volume":"10","author":"Chellapilla","year":"1999","journal-title":"IEEE Transactions on\n                            Neural Networks"},{"issue":"4","key":"2023062015082415700_B51","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1016\/j.asoc.2010.05.012","article-title":"A 2-Opt based differential evolution for\n                        global optimization","volume":"10","author":"Chiang","year":"2010","journal-title":"Applied Soft\n                            Computing"},{"issue":"8","key":"2023062015082415700_B52","doi-asserted-by":"crossref","first-page":"2263","DOI":"10.1016\/j.cor.2005.02.002","article-title":"Constraint handling in genetic\n                        algorithms using a gradient-based repair method","volume":"33","author":"Chootinan","year":"2006","journal-title":"Computers & Operations\n                    Research"},{"key":"2023062015082415700_B53","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1145\/3520304.3533640","article-title":"Constraint-handling techniques used with\n                        evolutionary algorithms","volume-title":"Genetic and\n                            Evolutionary Computation Conference Companion (GECCO)","author":"Coello","year":"2022"},{"issue":"3","key":"2023062015082415700_B54","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/S1474-0346(02)00011-3","article-title":"Constraint-handling in genetic algorithms through the use of\n                        dominance-based tournament selection","volume":"16","author":"Coello","year":"2002","journal-title":"Advanced Engineering Informatics"},{"issue":"1","key":"2023062015082415700_B55","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MCI.2006.1597059","article-title":"Evolutionary multi-objective\n                        optimization: A historical view of the field","volume":"1","author":"Coello Coello","year":"2006","journal-title":"IEEE Computational Intelligence\n                        Magazine"},{"key":"2023062015082415700_B56","first-page":"283","article-title":"PESA-II: Region-based selection in evolutionary\n                        multiobjective optimization","author":"Corne","year":"2001","journal-title":"Proceedings\n                            of the Genetic and Evolutionary Computation Conference\n                        (GECCO)"},{"issue":"5","key":"2023062015082415700_B57","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1109\/TEVC.2017.2745715","article-title":"Standard steady state genetic algorithms can hillclimb faster\n                        than mutation-only evolutionary algorithms","volume":"22","author":"Corus","year":"2017","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"issue":"4","key":"2023062015082415700_B58","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1016\/j.cie.2010.09.011","article-title":"A new efficient encoding\/decoding\n                        procedure for the design of a supply chain network with genetic\n                        algorithms","volume":"59","author":"Costa","year":"2010","journal-title":"Computers & Industrial\n                            Engineering"},{"key":"2023062015082415700_B59","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1145\/3205455.3205571","article-title":"Hierarchical behavioral repertoires with\n                        unsupervised descriptors","author":"Cully","year":"2018","journal-title":"Proceedings of\n                            the Genetic and Evolutionary Computation Conference\n                        (GECCO)"},{"issue":"3","key":"2023062015082415700_B60","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1109\/TEVC.2017.2724201","article-title":"Escaping local optima using crossover with emergent\n                        diversity","volume":"22","author":"Dang","year":"2017","journal-title":"IEEE Transactions on Evolutionary\n                            Computation"},{"issue":"2","key":"2023062015082415700_B61","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.swevo.2011.05.005","article-title":"Real-parameter evolutionary multimodal optimization\u2014A\n                        survey of the state-of-the-art","volume":"1","author":"Das","year":"2011","journal-title":"Swarm and\n                            Evolutionary Computation"},{"key":"2023062015082415700_B62","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2016.01.004","article-title":"Recent advances in differential evolution\u2014An updated\n                        survey","volume":"27","author":"Das","year":"2016","journal-title":"Swarm and Evolutionary\n                            Computation"},{"issue":"1","key":"2023062015082415700_B63","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","article-title":"Differential evolution: A survey of the\n                        state-of-the-art","volume":"15","author":"Das","year":"2011","journal-title":"IEEE Transactions on\n                            Evolutionary Computation"},{"key":"2023062015082415700_B64","volume-title":"Evolutionary algorithms in engineering\n                            applications","author":"Dasgupta","year":"2013"},{"key":"2023062015082415700_B65","article-title":"An analysis of the behavior of a class of genetic adaptive\n                        systems","author":"De Jong","year":"1975"},{"key":"2023062015082415700_B66","doi-asserted-by":"crossref","first-page":"1375","DOI":"10.1145\/3449726.3463167","article-title":"Tuning as a means of assessing the\n                        benefits of new ideas in interplay with existing algorithmic\n                        modules","author":"de Nobel","year":"2021","journal-title":"Genetic and Evolutionary\n                            Computation Conference Companion (GECCO)"},{"key":"2023062015082415700_B67","article-title":"IOHexperimenter: Benchmarking platform\n                        for iterative optimization heuristics","author":"de Nobel","year":"2021"},{"issue":"2","key":"2023062015082415700_B68","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s12293-022-00363-y","article-title":"Constrained multi-objective optimization\n                        with a limited budget of function evaluations","volume":"14","author":"de Winter","year":"2022","journal-title":"Memetic Computing"},{"issue":"2-4","key":"2023062015082415700_B69","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/S0045-7825(99)00389-8","article-title":"An efficient constraint handling method\n                        for genetic algorithms","volume":"186","author":"Deb","year":"2000","journal-title":"Computer Methods in\n                            Applied Mechanics and Engineering"},{"issue":"1","key":"2023062015082415700_B70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1051\/ijsmdo:2007001","article-title":"Current trends in evolutionary\n                        multi-objective optimization","volume":"1","author":"Deb","year":"2007","journal-title":"International\n                            Journal for Simulation and Multidisciplinary Design\n                            Optimization"},{"key":"2023062015082415700_B71","volume-title":"Multi-objective optimization using\n                            evolutionary algorithms","author":"Deb","year":"2009"},{"issue":"2","key":"2023062015082415700_B72","first-page":"115","article-title":"Simulated binary crossover for continuous search\n                        space","volume":"9","author":"Deb","year":"1995","journal-title":"Complex Systems"},{"issue":"2","key":"2023062015082415700_B73","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective\n                        genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE\n                            Transactions on Evolutionary Computation"},{"issue":"4","key":"2023062015082415700_B74","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1162\/106365602760972767","article-title":"A computationally efficient evolutionary\n                        algorithm for real-parameter optimization","volume":"10","author":"Deb","year":"2002","journal-title":"Evolutionary Computation"},{"issue":"4","key":"2023062015082415700_B75","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","article-title":"An evolutionary many-objective\n                        optimization algorithm using reference-point-based nondominated sorting\n                        approach, part I: Solving problems with box constraints","volume":"18","author":"Deb","year":"2013","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B76","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1145\/1276958.1277190","article-title":"Self-adaptive simulated binary crossover\n                        for real-parameter optimization","author":"Deb","year":"2007","journal-title":"Proceedings of the Genetic and Evolutionary Computation\n                            Conference (GECCO)"},{"key":"2023062015082415700_B77","first-page":"1423","article-title":"A tight runtime analysis of the\n                                        (1+(\u03bb,\u03bb))\n                        genetic algorithm on OneMax","author":"Doerr","year":"2015","journal-title":"Proceedings\n                            of the Genetic and Evolutionary Computation Conference\n                        (GECCO)"},{"key":"2023062015082415700_B78","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.tcs.2014.11.028","article-title":"From black-box complexity to designing\n                        new genetic algorithms","volume":"567","author":"Doerr","year":"2015","journal-title":"Theoretical Computer\n                            Science"},{"issue":"2","key":"2023062015082415700_B79","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s00453-018-0502-x","article-title":"The\n                                    (1+\u03bb)\n                        evolutionary algorithm with self-adjusting mutation rate","volume":"81","author":"Doerr","year":"2019","journal-title":"Algorithmica"},{"issue":"1","key":"2023062015082415700_B80","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/EVCO_a_00055","article-title":"Mutation rate matters even when\n                        optimizing monotonic functions","volume":"21","author":"Doerr","year":"2013","journal-title":"Evolutionary\n                            Computation"},{"issue":"4","key":"2023062015082415700_B81","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s00453-012-9622-x","article-title":"Multiplicative drift\n                        analysis","volume":"64","author":"Doerr","year":"2012","journal-title":"Algorithmica"},{"key":"2023062015082415700_B82","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1145\/3071178.3071301","article-title":"Fast genetic algorithms","author":"Doerr","year":"2017","journal-title":"Proceedings of the Genetic and Evolutionary Computation\n                            Conference (GECCO)"},{"key":"2023062015082415700_B83","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-29414-4","volume-title":"Theory of evolutionary\n                            computation\u2014Recent developments in discrete\n                        optimization","author":"Doerr","year":"2020"},{"issue":"4","key":"2023062015082415700_B84","doi-asserted-by":"publisher","first-page":"16:1","DOI":"10.1145\/3472304","article-title":"A survey on recent progress in the\n                        theory of evolutionary algorithms for discrete optimization","volume":"1","author":"Doerr","year":"2021","journal-title":"ACM Transactions on Evolutionary Learning and\n                            Optimization"},{"key":"2023062015082415700_B85","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/978-3-031-14721-0_28","article-title":"A first runtime analysis of the NSGA-II\n                        on a multimodal problem","volume":"13399","author":"Doerr","year":"2022","journal-title":"Proceedings of\n                            the 17th International Conference on Parallel Problem Solving from\n                            Nature"},{"key":"2023062015082415700_B86","article-title":"From understanding the population\n                        dynamics of the NSGA-II to the first proven lower bounds","author":"Doerr","year":"2022","journal-title":"CoRR"},{"key":"2023062015082415700_B87","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.106027","article-title":"Benchmarking discrete optimization\n                        heuristics with IOHprofiler","volume":"88","author":"Doerr","year":"2020","journal-title":"Applied Soft\n                            Computing"},{"issue":"Web-Server-Issue","key":"2023062015082415700_B88","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1093\/nar\/gkq322","article-title":"e-LEA3D: A computational-aided drug\n                        design web server","volume":"38","author":"Douguet","year":"2010","journal-title":"Nucleic acids\n                            research"},{"issue":"2","key":"2023062015082415700_B89","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.ejor.2019.07.073","article-title":"Recent advances in selection\n                    hyper-heuristics","volume":"285","author":"Drake","year":"2020","journal-title":"European Journal of\n                            Operational Research"},{"issue":"1\u20132","key":"2023062015082415700_B90","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/S0304-3975(01)00182-7","article-title":"On the analysis of the (1+1)\n                        evolutionary algorithm","volume":"276","author":"Droste","year":"2002","journal-title":"Theoretical Computer\n                            Science"},{"key":"2023062015082415700_B91","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/MHS.1995.494215","article-title":"A new optimizer using particle swarm\n                        theory","author":"Eberhart","year":"1995","journal-title":"International Symposium on Micro\n                            Machine and Human Science"},{"issue":"1\u20132","key":"2023062015082415700_B92","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0304-3975(99)00089-4","article-title":"Theory of evolutionary algorithms: A\n                        bird's eye view","volume":"229","author":"Eiben","year":"1999","journal-title":"Theoretical Computer\n                            Science"},{"issue":"1","key":"2023062015082415700_B93","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.swevo.2011.02.001","article-title":"Parameter tuning for configuring and analyzing evolutionary\n                        algorithms","volume":"1","author":"Eiben","year":"2011","journal-title":"Swarm and Evolutionary\n                            Computation"},{"key":"2023062015082415700_B94","doi-asserted-by":"crossref","first-page":"1668","DOI":"10.24963\/ijcai.2021\/230","article-title":"DACBench: A benchmark library for\n                        dynamic algorithm configuration","author":"Eimer","year":"2021","journal-title":"Proceedings of the Thirtieth International Joint\n                            Conference on Artificial Intelligence"},{"key":"2023062015082415700_B95","first-page":"415","article-title":"A median success rule for non-elitist\n                        evolution strategies: study of feasibility","author":"ElHara","year":"2013","journal-title":"Genetic and Evolutionary Computation Conference\n                            (GECCO)"},{"key":"2023062015082415700_B96","first-page":"187","article-title":"Real-coded genetic algorithms and\n                        interval-schemata","author":"Eshelman","year":"1992","journal-title":"Proceedings of the\n                            Second Workshop on Foundations of Genetic Algorithms"},{"key":"2023062015082415700_B97","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1145\/3319619.3326856","article-title":"Benchmarking GNN-CMA-ES on the BBOB\n                        noiseless testbed","author":"Faury","year":"2019","journal-title":"Proceedings of the\n                            Genetic and Evolutionary Computation Conference Companion\n                            (GECCO)"},{"key":"2023062015082415700_B98","first-page":"273","article-title":"Fast and stable MAP-Elites in noisy\n                        domains using deep grids","author":"Flageat","year":"2020","journal-title":"Proceedings of\n                            2020 Conference on Artificial Life"},{"key":"2023062015082415700_B99","first-page":"43","article-title":"An analysis of evolutionary\n                        programming","author":"Fogel","year":"1992","journal-title":"Proceedings of the 1st\n                            Annual Conference on Evolutionary Programming"},{"key":"2023062015082415700_B100","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1109\/ICNN.1993.298673","article-title":"Using evolutionary programing to create neural networks that\n                        are capable of playing tic-tac-toe","author":"Fogel","year":"1993","journal-title":"Proceedings of International Conference on Neural\n                            Networks"},{"issue":"2","key":"2023062015082415700_B101","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/BF00175356","article-title":"Evolutionary programming: An introduction and some current\n                        directions","volume":"4","author":"Fogel","year":"1994","journal-title":"Statistics and\n                            Computing"},{"issue":"2","key":"2023062015082415700_B102","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1145\/337897.337996","article-title":"Evolving a checkers player without relying on human\n                        experience","volume":"11","author":"Fogel","year":"2000","journal-title":"Intelligence"},{"key":"2023062015082415700_B103","doi-asserted-by":"crossref","DOI":"10.1016\/B978-155860783-5\/50016-7","volume-title":"Blondie24: Playing at the edge of AI","author":"Fogel","year":"2002"},{"issue":"2","key":"2023062015082415700_B104","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1162\/evco_a_00322","article-title":"Personal reflections on some early work in evolving\n                        strategies in the iterated prisoner's dilemma","volume":"31","author":"Fogel","year":"2023","journal-title":"Evolutionary Computation"},{"key":"2023062015082415700_B105","first-page":"601","article-title":"Evolutionary programming for training neural\n                        networks","author":"Fogel","year":"1990","journal-title":"International Joint Conference\n                            on Neural Networks"},{"key":"2023062015082415700_B106","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/CIG.2006.311706","article-title":"The Blondie25 chess program competes\n                        against Fritz 8.0 and a human chess master","author":"Fogel","year":"2006","journal-title":"2006 IEEE Symposium on Computational Intelligence and\n                            Games"},{"key":"2023062015082415700_B107","volume-title":"Artificial intelligence through\n                            simulated evolution","author":"Fogel","year":"1966"},{"issue":"1","key":"2023062015082415700_B108","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/THFE.1965.6591252","article-title":"Intelligent decision-making through a simulation of\n                        evolution","volume":"HFE-6","author":"Fogel","year":"1965","journal-title":"IEEE Transactions on Human\n                            Factors in Electronics"},{"key":"2023062015082415700_B109","doi-asserted-by":"crossref","DOI":"10.2514\/6.2017-3330","article-title":"Aerodynamic design exploration through\n                        surrogate-assisted illumination","author":"Gaier","year":"2017","journal-title":"18th\n                            AIAA\/ISSMO Conference on Multidisciplinary Analysis and\n                            Optimization"},{"issue":"2","key":"2023062015082415700_B110","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/evco.1999.7.2.173","article-title":"Rigorous hitting times for binary\n                        mutations","volume":"7","author":"Garnier","year":"1999","journal-title":"Evolutionary\n                        Computation"},{"key":"2023062015082415700_B111","first-page":"651","article-title":"On the effect of populations in evolutionary multi-objective\n                        optimization","author":"Giel","year":"2006","journal-title":"Proceedings of the Genetic\n                            and Evolutionary Computation Conference (GECCO)"},{"issue":"2","key":"2023062015082415700_B112","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1007\/s00453-016-0214-z","article-title":"The interplay of population size and\n                        mutation probability in the\n                                    (1+\u03bb)\n                        EA on OneMax","volume":"78","author":"Gie\u00dfen","year":"2017","journal-title":"Algorithmica"},{"key":"2023062015082415700_B113","volume-title":"Genetic algorithms in search, optimization, and machine\n                            learning","author":"Goldberg","year":"1989"},{"key":"2023062015082415700_B114","first-page":"154","article-title":"Alleles, loci, and the traveling\n                        salesman problem","author":"Goldberg","year":"1985","journal-title":"Proceedings of the 1st\n                            International Conference on Genetic Algorithms"},{"issue":"6","key":"2023062015082415700_B115","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","article-title":"Differential evolution with\n                        ranking-based mutation operators","volume":"43","author":"Gong","year":"2013","journal-title":"IEEE\n                            Transactions on Cybernetics"},{"issue":"1","key":"2023062015082415700_B116","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/TSMC.1986.289288","article-title":"Optimization of control parameters for genetic\n                        algorithms","volume":"16","author":"Grefenstette","year":"1986","journal-title":"IEEE Transactions on Systems,\n                            Man, and Cybernetics"},{"key":"2023062015082415700_B117","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1007\/978-3-319-99253-2_40","article-title":"Prototype discovery using\n                        quality-diversity","author":"Hagg","year":"2018","journal-title":"Parallel Problem\n                            Solving from Nature"},{"key":"2023062015082415700_B118","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1145\/3321707.3321823","article-title":"Modeling user selection in quality\n                        diversity","author":"Hagg","year":"2019","journal-title":"Proceedings of the Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"key":"2023062015082415700_B119","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/978-3-030-63710-1_4","article-title":"An analysis of phenotypic diversity in\n                        multi-solution optimization","volume-title":"Bioinspired optimization methods and their\n                            applications","author":"Hagg","year":"2020"},{"key":"2023062015082415700_B120","article-title":"CMA-ES with two-point step-size\n                        adaptation","author":"Hansen","year":"2008","journal-title":"CoRR"},{"key":"2023062015082415700_B121","article-title":"The CMA evolution strategy: A\n                        tutorial","author":"Hansen","year":"2016","journal-title":"CoRR"},{"key":"2023062015082415700_B122","first-page":"1689","article-title":"Comparing results of 31 algorithms from\n                        the black-box optimization benchmarking BBOB-2009","author":"Hansen","year":"2010","journal-title":"Proceedings of the Genetic and Evolutionary Computation\n                            Conference Companion (GECCO)"},{"issue":"1","key":"2023062015082415700_B123","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1080\/10556788.2020.1808977","article-title":"COCO: A platform for comparing\n                        continuous optimizers in a black-box setting","volume":"36","author":"Hansen","year":"2021","journal-title":"Optimization Methods and Software"},{"key":"2023062015082415700_B124","article-title":"Real-parameter black-box optimization\n                        benchmarking 2009: Noiseless functions definitions","author":"Hansen","year":"2009"},{"issue":"1","key":"2023062015082415700_B125","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1109\/TEVC.2008.924423","article-title":"A method for handling uncertainty in\n                        evolutionary optimization with an application to feedback control of\n                        combustion","volume":"13","author":"Hansen","year":"2009","journal-title":"IEEE Transactions on\n                            Evolutionary Computation"},{"key":"2023062015082415700_B126","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1109\/ICEC.1996.542381","article-title":"Adapting arbitrary normal mutation\n                        distributions in evolution strategies: The covariance matrix\n                        adaptation","author":"Hansen","year":"1996","journal-title":"Proceedings of IEEE\n                            International Conference on Evolutionary Computation"},{"key":"2023062015082415700_B127","first-page":"650","article-title":"Convergence properties of evolution\n                        strategies with the derandomized covariance matrix adaptation: The\n                                        (\u03bc\/\u03bcI,\u03bb)-es","author":"Hansen","year":"1997","journal-title":"Proceedings of the 5th European Congress on Intelligent\n                            Techniques and Soft Computing"},{"issue":"2","key":"2023062015082415700_B128","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1162\/106365601750190398","article-title":"Completely derandomized self-adaptation\n                        in evolution strategies","volume":"9","author":"Hansen","year":"2001","journal-title":"Evolutionary\n                            Computation"},{"key":"2023062015082415700_B129","first-page":"57","article-title":"On the adaptation of arbitrary normal\n                        mutation distributions in evolution strategies: The generating set\n                        adaptation","author":"Hansen","year":"1995","journal-title":"Proceedings of the Sixth\n                            International Conference on Genetic Algorithms"},{"key":"2023062015082415700_B130","first-page":"24","article-title":"Finding multiple solutions using\n                        restricted tournament selection","author":"Harik","year":"1995","journal-title":"Proceedings of the Sixth International Conference on\n                            Genetic Algorithms"},{"key":"2023062015082415700_B131","first-page":"247","article-title":"Learning linkage","author":"Harik","year":"1996","journal-title":"Proceedings of the 4th Workshop on Foundations of\n                            Genetic Algorithms"},{"issue":"4","key":"2023062015082415700_B132","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1109\/4235.797971","article-title":"The compact genetic algorithm","volume":"3","author":"Harik","year":"1999","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"issue":"3","key":"2023062015082415700_B133","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.swevo.2011.08.003","article-title":"An introduction and survey of estimation\n                        of distribution algorithms","volume":"1","author":"Hauschild","year":"2011","journal-title":"Swarm and\n                            Evolutionary Computation"},{"issue":"1","key":"2023062015082415700_B134","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/S0004-3702(01)00058-3","article-title":"Drift analysis and average time\n                        complexity of evolutionary algorithms","volume":"127","author":"He","year":"2001","journal-title":"Artificial Intelligence"},{"issue":"1\u20132","key":"2023062015082415700_B135","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/S0004-3702(02)00381-8","article-title":"Towards an analytic framework for\n                        analysing the computation time of evolutionary algorithms","volume":"145","author":"He","year":"2003","journal-title":"Artificial Intelligence"},{"key":"2023062015082415700_B136","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1016\/j.swevo.2018.10.002","article-title":"Benchmarking evolutionary algorithms for\n                        single objective real-valued constrained optimization\u2014A critical\n                        review","volume":"44","author":"Hellwig","year":"2019","journal-title":"Swarm and Evolutionary\n                            Computation"},{"key":"2023062015082415700_B137","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaptation in natural and artificial systems: An\n                            introductory analysis with applications to biology, control and\n                            artificial intelligence","author":"Holland","year":"1992","edition":"1st"},{"issue":"2","key":"2023062015082415700_B138","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1109\/TEVC.2019.2921598","article-title":"A survey of automatic parameter tuning\n                        methods for metaheuristics","volume":"24","author":"Huang","year":"2019","journal-title":"IEEE\n                            Transactions on Evolutionary Computation"},{"key":"2023062015082415700_B139","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/978-3-642-17563-3_27","article-title":"Runtime analysis of evolutionary\n                        programming based on Cauchy mutation","volume":"6466","author":"Huang","year":"2010","journal-title":"Proceedings of the First International Conference on\n                            Swarm, Evolutionary, and Memetic Computing"},{"key":"2023062015082415700_B140","first-page":"1650","article-title":"Multi-surrogate assisted efficient global optimization for\n                        discrete problems","author":"Huang","year":"2022","journal-title":"IEEE Symposium Series\n                            on Computational Intelligence"},{"issue":"4","key":"2023062015082415700_B141","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1007\/s10462-017-9605-z","article-title":"Metaheuristic research: a comprehensive\n                        survey","volume":"52","author":"Hussain","year":"2019","journal-title":"Artificial Intelligence\n                            Review"},{"key":"2023062015082415700_B142","first-page":"453","article-title":"A computational efficient covariance\n                        matrix update and a (1+1)-CMA for evolution\n                        strategies","author":"Igel","year":"2006","journal-title":"Proceedings of the 8th Annual\n                            Conference on Genetic and Evolutionary Computation\n                        (GECCO)"},{"key":"2023062015082415700_B143","first-page":"2419","article-title":"Evolutionary many-objective\n                        optimization: A short review","author":"Ishibuchi","year":"2008","journal-title":"Proceedings\n                            of the IEEE Congress on Evolutionary Computation"},{"issue":"14","key":"2023062015082415700_B144","doi-asserted-by":"publisher","DOI":"10.3390\/app12147101","article-title":"Predicting rock brittleness using a\n                        robust evolutionary programming paradigm and regression-based feature\n                        selection model","volume":"12","author":"Jamei","year":"2022","journal-title":"Applied\n                        Sciences"},{"key":"2023062015082415700_B145","first-page":"31","article-title":"An experimental comparison of binary and\n                        floating point representations in genetic algorithms","author":"Janikow","year":"1991","journal-title":"International Conference on Genetic\n                        Algorithms"},{"issue":"4","key":"2023062015082415700_B146","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1162\/106365605774666921","article-title":"On the choice of the offspring\n                        population size in evolutionary algorithms","volume":"13","author":"Jansen","year":"2005","journal-title":"Evolutionary Computation"},{"issue":"1","key":"2023062015082415700_B147","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00500-003-0328-5","article-title":"A comprehensive survey of fitness\n                        approximation in evolutionary computation","volume":"9","author":"Jin","year":"2005","journal-title":"Soft Computing"},{"issue":"2","key":"2023062015082415700_B148","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.swevo.2011.05.001","article-title":"Surrogate-assisted evolutionary\n                        computation: Recent advances and future challenges","volume":"1","author":"Jin","year":"2011","journal-title":"Swarm and Evolutionary Computation"},{"issue":"5","key":"2023062015082415700_B149","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1109\/TEVC.2002.800884","article-title":"A framework for evolutionary\n                        optimization with approximate fitness functions","volume":"6","author":"Jin","year":"2002","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B150","first-page":"786","article-title":"On evolutionary optimization with\n                        approximate fitness functions","author":"Jin","year":"2000","journal-title":"Proceedings of the 2nd Annual Conference on Genetic and\n                            Evolutionary Computation (GECCO)"},{"issue":"3","key":"2023062015082415700_B151","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/MCI.2009.933094","article-title":"A systems approach to evolutionary\n                        multiobjective structural optimization and beyond","volume":"4","author":"Jin","year":"2009","journal-title":"IEEE Computational Intelligence\n                        Magazine"},{"issue":"4","key":"2023062015082415700_B152","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1023\/A:1008306431147","article-title":"Efficient global optimization of expensive black-box\n                        functions","volume":"13","author":"Jones","year":"1998","journal-title":"Journal of Global\n                            Optimization"},{"issue":"2","key":"2023062015082415700_B153","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/TEVC.2014.2308294","article-title":"Parameter control in evolutionary algorithms: Trends and\n                        challenges","volume":"19","author":"Karafotias","year":"2014","journal-title":"IEEE Transactions on\n                            Evolutionary Computation"},{"key":"2023062015082415700_B154","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1109\/SIS.2003.1202251","article-title":"Bare bones particle\n                        swarms","author":"Kennedy","year":"2003","journal-title":"Proceedings of the 2003 IEEE\n                            Swarm Intelligence Symposium"},{"key":"2023062015082415700_B155","first-page":"1671","article-title":"Population structure and particle swarm\n                        performance","volume":"2","author":"Kennedy","year":"2002","journal-title":"Proceedings of the 2002\n                            Congress on Evolutionary Computation"},{"issue":"1","key":"2023062015082415700_B156","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1162\/evco_a_00242","article-title":"Automated algorithm selection: Survey\n                        and perspectives","volume":"27","author":"Kerschke","year":"2019","journal-title":"Evolutionary\n                            Computation"},{"key":"2023062015082415700_B157","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1007\/978-3-030-25147-5_7","article-title":"Comprehensive feature-based landscape\n                        analysis of continuous and constrained optimization problems using the\n                        R-package flacco","volume-title":"Applications in\n                            statistical computing","author":"Kerschke","year":"2019"},{"issue":"4598","key":"2023062015082415700_B158","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","article-title":"Optimization by simulated annealing","volume":"220","author":"Kirkpatrick","year":"1983","journal-title":"Science"},{"issue":"1","key":"2023062015082415700_B159","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TEVC.2005.851274","article-title":"ParEGO: A hybrid algorithm with on-line landscape\n                        approximation for expensive multiobjective optimization\n                        problems","volume":"10","author":"Knowles","year":"2006","journal-title":"IEEE Transactions on Evolutionary\n                            Computation"},{"issue":"9","key":"2023062015082415700_B160","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","article-title":"Multi-objective optimization using genetic algorithms: A\n                        tutorial","volume":"91","author":"Konak","year":"2006","journal-title":"Reliability Engineering and System\n                            Safety"},{"key":"2023062015082415700_B161","article-title":"The importance of being constrained:\n                        Dealing with infeasible solutions in differential evolution and\n                        beyond","author":"Kononova","year":"2022"},{"key":"2023062015082415700_B162","first-page":"491","article-title":"A directed mutation operator for real\n                        coded genetic algorithms","author":"Korejo","year":"2010","journal-title":"Proceedings of\n                            Applications of Evolutionary Computation: EvoApplicatons 2010:\n                            EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and\n                            EvoSTOC"},{"key":"2023062015082415700_B163","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/978-3-031-14714-2_4","article-title":"Per-run algorithm selection with\n                        warm-starting using trajectory-based features","volume":"13398","author":"Kostovska","year":"2022","journal-title":"Proceedings of the 17th International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B164","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1145\/3449726.3459579","article-title":"Option: Optimization algorithm\n                        benchmarking ontology","author":"Kostovska","year":"2021","journal-title":"Proceedings of the\n                            Genetic and Evolutionary Computation Conference Companion\n                            (GECCO)"},{"key":"2023062015082415700_B165","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1145\/3512290.3528832","article-title":"The importance of landscape features for\n                        performance prediction of modular CMA-ES variants","author":"Kostovska","year":"2022","journal-title":"Genetic and Evolutionary Computation Conference\n                            (GECCO)"},{"issue":"3","key":"2023062015082415700_B166","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2010\/185063","article-title":"A review of constraint-handling\n                        techniques for evolution strategies","volume":"2010","author":"Kramer","year":"2010","journal-title":"Applied\n                            Computational Intelligence and Soft Computing"},{"key":"2023062015082415700_B167","article-title":"CMA-ES with optimal covariance update\n                        and storage complexity","volume-title":"Advances in neural information processing\n                            systems","author":"Krause","year":"2016"},{"key":"2023062015082415700_B168","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/978-3-030-29414-4_9","article-title":"Theory of estimation-of-distribution\n                        algorithms","volume-title":"Theory of evolutionary computation\u2014Recent\n                            developments in discrete optimization","author":"Krejca","year":"2020"},{"key":"2023062015082415700_B169","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1145\/2001576.2001699","article-title":"On the log-normal self-adaptation of the\n                        mutation rate in binary search spaces","author":"Kruisselbrink","year":"2011","journal-title":"Proceedings of the 13th Annual Conference on Genetic and\n                            Evolutionary Computation (GECCO)"},{"issue":"2","key":"2023062015082415700_B170","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1023\/A:1006529012972","article-title":"Genetic algorithms for the travelling\n                        salesman problem: A review of representations and operators","volume":"13","author":"Larra\u00f1aga","year":"1999","journal-title":"Artificial Intelligence Review"},{"issue":"2","key":"2023062015082415700_B171","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1109\/TEVC.2004.823470","article-title":"Running time analysis of multiobjective\n                        evolutionary algorithms on pseudo-Boolean functions","volume":"8","author":"Laumanns","year":"2004","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B172","first-page":"329","article-title":"Exploiting open-endedness to solve problems through the\n                        search for novelty","author":"Lehman","year":"2008","journal-title":"Proceedings of the\n                            Eleventh International Conference on the Synthesis and Simulation of\n                            Living Systems"},{"issue":"2","key":"2023062015082415700_B173","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1162\/EVCO_a_00025","article-title":"Abandoning objectives: Evolution through the search for\n                        novelty alone","volume":"19","author":"Lehman","year":"2011","journal-title":"Evolutionary\n                            Computation"},{"key":"2023062015082415700_B174","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1145\/2001576.2001606","article-title":"Evolving a diversity of virtual creatures through novelty\n                        search and local competition","author":"Lehman","year":"2011","journal-title":"Proceedings\n                            of the 13th Annual Conference on Genetic and Evolutionary Computation\n                            (GECCO)"},{"key":"2023062015082415700_B175","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/978-3-030-29414-4_2","article-title":"Drift analysis","volume-title":"Theory of evolutionary computation\u2014Recent\n                            developments in discrete optimization","author":"Lengler","year":"2020"},{"issue":"1","key":"2023062015082415700_B176","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1109\/TNN.2002.804317","article-title":"Tuning of the structure and parameters of a\n                        neural network using an improved genetic algorithm","volume":"14","author":"Leung","year":"2003","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"1","key":"2023062015082415700_B177","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1162\/EVCO_a_00059","article-title":"Mixed integer evolution strategies for\n                        parameter optimization","volume":"21","author":"Li","year":"2013","journal-title":"Evolutionary\n                            Computation"},{"issue":"4","key":"2023062015082415700_B178","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/TEVC.2016.2638437","article-title":"Seeking multiple solutions: An updated\n                        survey on niching methods and their applications","volume":"21","author":"Li","year":"2016","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"issue":"2","key":"2023062015082415700_B179","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1080\/09528139008953717","article-title":"Representational issues in genetic\n                        optimization","volume":"2","author":"Liepins","year":"1990","journal-title":"Journal of Experimental\n                                        &\n                            Theoretical Artificial Intelligence"},{"key":"2023062015082415700_B180","first-page":"54","article-title":"SMAC3: A versatile Bayesian optimization\n                        package for hyperparameter optimization","volume":"23","author":"Lindauer","year":"2022","journal-title":"Journal of Machine Learning Research"},{"key":"2023062015082415700_B181","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/s00500-006-0049-7","article-title":"An improved genetic algorithm with average-bound crossover\n                        and wavelet mutation operations","volume":"11","author":"Ling","year":"2007","journal-title":"Soft\n                            Computing"},{"issue":"4","key":"2023062015082415700_B182","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3466624","article-title":"Reproducibility in evolutionary\n                        computation","volume":"1","author":"L\u00f3pez-Ib\u00e1\u00f1ez","year":"2021","journal-title":"ACM Transactions on\n                            Evolutionary Learning and Optimization"},{"key":"2023062015082415700_B183","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.orp.2016.09.002","article-title":"The irace package: Iterated racing for\n                        automatic algorithm configuration","volume":"3","author":"L\u00f3pez-Ib\u00e1\u00f1ez","year":"2016","journal-title":"Operations Research Perspectives"},{"key":"2023062015082415700_B184","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1145\/2464576.2482696","article-title":"Bi-population CMA-ES algorithms with\n                        surrogate models and line searches","author":"Loshchilov","year":"2013","journal-title":"Proceedings of the 15th Annual Conference Companion on\n                            Genetic and Evolutionary Computation (GECCO)"},{"issue":"4","key":"2023062015082415700_B185","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1109\/TEVC.2009.2033582","article-title":"Ensemble of constraint handling techniques","volume":"14","author":"Mallipeddi","year":"2010","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B186","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1145\/3205455.3205477","article-title":"Real-valued evolutionary multi-modal optimization driven by\n                        hill-valley clustering","author":"Maree","year":"2018","journal-title":"Proceedings of\n                            the Genetic and Evolutionary Computation Conference\n                        (GECCO)"},{"key":"2023062015082415700_B187","first-page":"221","article-title":"Genetic operators, the fitness landscape and the traveling\n                        salesman problem","author":"Mathias","year":"1992","journal-title":"Parallel Problem\n                            Solving from Nature 2"},{"key":"2023062015082415700_B188","first-page":"829","article-title":"Exploratory landscape\n                        analysis","author":"Mersmann","year":"2011","journal-title":"Proceedings of Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"issue":"1","key":"2023062015082415700_B189","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TEVC.2004.836819","article-title":"A simple multimembered evolution strategy to solve\n                        constrained optimization problems","volume":"9","author":"Mezura-Montes","year":"2005","journal-title":"IEEE\n                            Transactions on Evolutionary Computation"},{"issue":"4","key":"2023062015082415700_B190","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.swevo.2011.10.001","article-title":"Constraint-handling in nature-inspired numerical\n                        optimization: Past, present and future","volume":"1","author":"Mezura-Montes","year":"2011","journal-title":"Swarm and Evolutionary Computation"},{"issue":"1","key":"2023062015082415700_B191","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00291-012-0297-0","article-title":"Survey of methods to visualize\n                        alternatives in multiple criteria decision making problems","volume":"36","author":"Miettinen","year":"2014","journal-title":"OR Spectrum"},{"key":"2023062015082415700_B192","article-title":"Illuminating search spaces by mapping\n                        elites","author":"Mouret","year":"2015","journal-title":"CoRR"},{"key":"2023062015082415700_B193","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.ins.2015.05.010","article-title":"Algorithm selection for black-box continuous optimization\n                        problems: A survey on methods and challenges","volume":"317","author":"Mu\u00f1oz","year":"2015","journal-title":"Information Sciences"},{"key":"2023062015082415700_B194","first-page":"450","article-title":"Edge assembly crossover: A high-power\n                        genetic algorithm for the travelling salesman problem","author":"Nagata","year":"1997","journal-title":"Proceedings of International Conference on Genetic\n                            Algorithms"},{"key":"2023062015082415700_B195","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","article-title":"A simplex method for function\n                        minimization","volume":"7","author":"Nelder","year":"1965","journal-title":"Computer\n                        Journal"},{"key":"2023062015082415700_B196","first-page":"93","article-title":"A theoretical analysis of the\n                        non-uniform mutation operator for the modified genetic\n                        algorithm","author":"Neubauer","year":"1997","journal-title":"Proceedings of 1997 IEEE\n                            International Conference on Evolutionary Computation"},{"key":"2023062015082415700_B197","first-page":"224","article-title":"A study of permutation crossover\n                        operators on the traveling salesman problem","author":"Oliver","year":"1987","journal-title":"Proceedings of International Conference on Genetic\n                            Algorithms"},{"key":"2023062015082415700_B198","first-page":"496","article-title":"A robust real-coded genetic algorithm\n                        using unimodal normal distribution crossover augmented by uniform crossover:\n                        Effects of self-adaptation of crossover probabilities","volume":"1","author":"Ono","year":"1999","journal-title":"Proceedings of the 1st Annual Conference on Genetic and\n                            Evolutionary Companion (GECCO)"},{"issue":"4","key":"2023062015082415700_B199","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1162\/evco.1994.2.4.369","article-title":"A derandomized approach to\n                        self-adaptation of evolution strategies","volume":"2","author":"Ostermeier","year":"1994","journal-title":"Evolutionary Computation"},{"key":"2023062015082415700_B200","first-page":"189","article-title":"Step-size adaptation based on non-local\n                        use of selection information","author":"Ostermeier","year":"1994","journal-title":"Proceedings\n                            of the 3rd International Conference on Parallel Problem Solving from\n                            Nature"},{"key":"2023062015082415700_B201","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.tcs.2018.06.009","article-title":"Design and analysis of diversity-based\n                        parent selection schemes for speeding up evolutionary multi-objective\n                        optimisation","volume":"832","author":"Osuna","year":"2020","journal-title":"Theoretical Computer\n                            Science"},{"key":"2023062015082415700_B202","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100759","article-title":"Adaptive simulated binary crossover for\n                        rotated multi-objective optimization","author":"Pan","year":"2021","journal-title":"Swarm\n                            and Evolutionary Computation"},{"key":"2023062015082415700_B203","first-page":"46","article-title":"Co-evolutionary constraint\n                        satisfaction","author":"Paredis","year":"1994","journal-title":"International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B204","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1109\/ICEC.1996.542703","article-title":"A clearing procedure as a niching method\n                        for genetic algorithms","author":"P\u00e9trowski","year":"1996","journal-title":"Proceedings of\n                            IEEE International Conference on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B205","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3512290.3528823","article-title":"Multi-objective quality diversity\n                        optimization","author":"Pierrot","year":"2022","journal-title":"Proceedings of the Genetic\n                            and Evolutionary Computation Conference (GECCO)"},{"key":"2023062015082415700_B206","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-96514-7","volume-title":"Hyper-heuristics: Theory and\n                            applications","author":"Pillay","year":"2018"},{"key":"2023062015082415700_B207","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/978-3-319-99259-4_3","article-title":"A simple proof for the usefulness of\n                        crossover in black-box optimization","author":"Pinto","year":"2018","journal-title":"Proceedings of Conference on Parallel Problem Solving\n                            from Nature"},{"key":"2023062015082415700_B208","first-page":"164","article-title":"Local SVM constraint surrogate models\n                        for self-adaptive evolution strategies","author":"Poloczek","year":"2013","journal-title":"Annual Conference on Artificial\n                        Intelligence"},{"key":"2023062015082415700_B209","first-page":"784","article-title":"Multiobjective optimization on a limited\n                        budget of evaluations using model-assisted -metric\n                    selection","volume":"5199","author":"Ponweiser","year":"2008","journal-title":"Proceedings of the 10th\n                            International Conference on Parallel Problem Solving from\n                            Nature"},{"key":"2023062015082415700_B210","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/978-3-319-07407-8_3","article-title":"Groundwork for niching","volume-title":"Multimodal optimization by means of evolutionary\n                            algorithms","author":"Preuss","year":"2015"},{"key":"2023062015082415700_B211","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-030-79553-5_1","article-title":"Multimodal optimization: Formulation, heuristics, and a\n                        decade of advances","volume-title":"Metaheuristics for\n                            finding multiple solutions","author":"Preuss","year":"2021"},{"key":"2023062015082415700_B212","volume-title":"Differential evolution: A practical\n                            approach to global optimization","author":"Price","year":"2005"},{"key":"2023062015082415700_B213","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1093\/comjnl\/20.4.367","article-title":"A controlled random search procedure for global\n                        optimisation","volume":"20","author":"Price","year":"1977","journal-title":"Computer\n                        Journal"},{"key":"2023062015082415700_B214","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1145\/2739480.2754664","article-title":"Confronting the challenge of quality\n                        diversity","author":"Pugh","year":"2015","journal-title":"Proceedings of the 2015 Annual\n                            Conference on Genetic and Evolutionary Computation\n                        (GECCO)"},{"key":"2023062015082415700_B215","article-title":"A unified differential evolution\n                        algorithm for global optimization","author":"Qijang","year":"2014","journal-title":"IEEE\n                            Transactions on Evolutionary\n                    Computation"},{"issue":"2","key":"2023062015082415700_B216","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","article-title":"Differential evolution algorithm with strategy adaptation for\n                        global numerical optimization","volume":"13","author":"Qin","year":"2009","journal-title":"IEEE\n                            Transactions on Evolutionary Computation"},{"issue":"4","key":"2023062015082415700_B217","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1080\/0305215X.2010.493937","article-title":"Constrained multi-objective optimization algorithm with an\n                        ensemble of constraint handling methods","volume":"43","author":"Qu","year":"2011","journal-title":"Engineering Optimization"},{"issue":"3","key":"2023062015082415700_B218","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1109\/TEVC.2012.2203138","article-title":"A distance-based locally informed\n                        particle swarm model for multimodal optimization","volume":"17","author":"Qu","year":"2012","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B219","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/978-3-030-58112-1_12","article-title":"High dimensional Bayesian optimization\n                        assisted by principal component analysis","author":"Raponi","year":"2020","journal-title":"International Conference on Parallel Problem Solving\n                            from Nature"},{"key":"2023062015082415700_B220","first-page":"628","article-title":"Informed operators: Speeding up\n                        genetic-algorithm-based design optimization using reduced\n                        models","author":"Rasheed","year":"2000","journal-title":"Proceedings of the 2nd Annual\n                            Conference on Genetic and Evolutionary Computation\n                        (GECCO)"},{"key":"2023062015082415700_B221","volume-title":"Gaussian processes for machine\n                            learning","author":"Rasmussen","year":"2006"},{"key":"2023062015082415700_B222","first-page":"87","article-title":"Accelerating the convergence of\n                        evolutionary algorithms by fitness landscape approximation","author":"Ratle","year":"1998","journal-title":"International Conference on Parallel Problem Solving from\n                            Nature"},{"key":"2023062015082415700_B223","article-title":"Cybernetic solution path of an\n                        experimental problem","author":"Rechenberg","year":"1965","journal-title":"Royal Aircraft\n                            Establishment Library Translation\n                    1122"},{"key":"2023062015082415700_B224","volume-title":"Evolutionsstrategie: Optimierung\n                            technischer System nach Prinzipien der biologischen\n                        Evolution","author":"Rechenberg","year":"1973"},{"issue":"1","key":"2023062015082415700_B225","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1162\/evco.1998.6.1.45","article-title":"Genetic algorithms, path relinking, and\n                        the flowshop sequencing problem","volume":"6","author":"Reeves","year":"1998","journal-title":"Evolutionary Computation"},{"key":"2023062015082415700_B226","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S0065-2458(08)60520-3","article-title":"The algorithm selection problem","volume-title":"Advances in computers","author":"Rice","year":"1976"},{"key":"2023062015082415700_B227","first-page":"191","article-title":"Some guidelines for genetic algorithms with penalty\n                        functions","author":"Richardson","year":"1989","journal-title":"Proceedings of the 3rd\n                            International Conference on Genetic Algorithms"},{"key":"2023062015082415700_B228","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1007\/978-3-540-87700-4_30","article-title":"A simple modification in CMA-ES\n                        achieving linear time and space complexity","author":"Ros","year":"2008","journal-title":"International Conference on Parallel Problem Solving\n                            from Nature"},{"key":"2023062015082415700_B229","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.tcs.2013.09.036","article-title":"The choice of the offspring population\n                        size in the (1,\n                                \u03bb)\n                        evolutionary algorithm","volume":"545","author":"Rowe","year":"2014","journal-title":"Theoretical Computer\n                            Science"},{"issue":"3","key":"2023062015082415700_B230","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.cosrev.2009.07.001","article-title":"A survey of repair methods used as\n                        constraint handling techniques in evolutionary algorithms","volume":"3","author":"Salcedo-Sanz","year":"2009","journal-title":"Computer Science Review"},{"key":"2023062015082415700_B231","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/978-3-642-10701-6_2","article-title":"A review of techniques for handling\n                        expensive functions in evolutionary multi-objective\n                        optimization","author":"Santana-Quintero","year":"2010","journal-title":"Computational Intelligence in\n                            Expensive Optimization Problems"},{"key":"2023062015082415700_B232","first-page":"215","article-title":"Multi-operator evolutionary programming: A preliminary study\n                        on function optimization","volume":"1213","author":"Saravanan","year":"1997","journal-title":"Proceedings of\n                            the 6th International Conference on Evolutionary Programming VI, 6th\n                            International Conference"},{"key":"2023062015082415700_B233","first-page":"93","article-title":"Multiple objective optimization with vector evaluated genetic\n                        algorithms","author":"Schaffer","year":"1985","journal-title":"Proceedings of the 1st\n                            International Conference on Genetic Algorithms"},{"key":"2023062015082415700_B234","article-title":"Kybernetische evolution als strategie\n                        der experimentellen forschung in der stromungstechnik","author":"Schwefel","year":"1965"},{"key":"2023062015082415700_B235","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-0348-5927-1","volume-title":"Numerische optimierung von\n                            computer-modellen mittels der evolutionsstrategie.(Teil 1, Kap.\n                            1-5)","author":"Schwefel","year":"1977"},{"key":"2023062015082415700_B236","volume-title":"Numerical optimization of computer\n                            models","author":"Schwefel","year":"1981"},{"key":"2023062015082415700_B237","article-title":"Collective phenomena in evolutionary\n                        systems","author":"Schwefel","year":"1987","journal-title":"31st Annual Meeting of the\n                            International Society for General Systems\n                    Research"},{"key":"2023062015082415700_B238","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1007\/978-3-030-58112-1_48","article-title":"Learning step-size adaptation in\n                        CMA-ES","author":"Shala","year":"2020","journal-title":"International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B239","article-title":"Unified framework for the adaptive\n                        operator selection of discrete parameters","author":"Sharma","year":"2020"},{"key":"2023062015082415700_B240","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1109\/ICEC.1998.699146","article-title":"A modified particle swarm\n                        optimizer","author":"Shi","year":"1998","journal-title":"1998 IEEE International\n                            Conference on Evolutionary Computation Proceedings. IEEE World Congress\n                            on Computational Intelligence (Cat. No. 98TH8360)"},{"key":"2023062015082415700_B241","first-page":"142","article-title":"Niche radius adaptation in the CMA-ES\n                        niching algorithm","author":"Shir","year":"2006","journal-title":"Parallel Problem\n                            Solving from Nature"},{"key":"2023062015082415700_B242","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/CEC.2007.4424555","article-title":"Self-adaptive niching CMA-ES with\n                        Mahalanobis metric","author":"Shir","year":"2007","journal-title":"2007 IEEE Congress on\n                            Evolutionary Computation"},{"issue":"1","key":"2023062015082415700_B243","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/itor.12001","article-title":"Metaheuristics\u2014The metaphor\n                        exposed","volume":"22","author":"S\u00f6rensen","year":"2015","journal-title":"International Transactions in\n                            Operational Research"},{"key":"2023062015082415700_B244","first-page":"221","article-title":"Crossover or mutation?","volume-title":"Foundations of genetic algorithms","author":"Spears","year":"1993"},{"key":"2023062015082415700_B245","article-title":"Differential evolution: A simple and\n                        efficient adaptive scheme for global optimization over continuous\n                        spaces","volume":"23","author":"Storn","year":"1995","journal-title":"Journal of Global\n                            Optimization"},{"issue":"2","key":"2023062015082415700_B246","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1162\/EVCO_a_00171","article-title":"How crossover speeds up building block\n                        assembly in genetic algorithms","volume":"25","author":"Sudholt","year":"2017","journal-title":"Evolutionary\n                            Computation"},{"key":"2023062015082415700_B247","article-title":"Problem definitions and\n                            evaluation criteria for the CEC 2005 special session on real-parameter\n                            optimization","author":"Suganthan","year":"2005"},{"issue":"2","key":"2023062015082415700_B248","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s12293-016-0199-9","article-title":"A fitness approximation assisted\n                        competitive swarm optimizer for large scale expensive optimization\n                        problems","volume":"10","author":"Sun","year":"2018","journal-title":"Memetic\n                        Computing"},{"issue":"4","key":"2023062015082415700_B249","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1109\/TEVC.2021.3060811","article-title":"Learning adaptive differential evolution\n                        algorithm from optimization experiences by policy gradient","volume":"25","author":"Sun","year":"2021","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B250","first-page":"391","article-title":"The COMOGA method: Constrained optimisation by\n                        multi-objective genetic algorithms","volume":"26","author":"Surry","year":"1997","journal-title":"Control\n                            and Cybernetics"},{"key":"2023062015082415700_B251","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/CEC.2013.6557555","article-title":"Success-history based parameter\n                        adaptation for differential evolution","author":"Tanabe","year":"2013","journal-title":"2013 IEEE Congress on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B252","first-page":"1108","article-title":"Accelerating real-valued genetic\n                        algorithms using mutation-with-momentum","author":"Temby","year":"2005","journal-title":"Proceedings of the 18th Australian Joint Conference on\n                            Artificial Intelligence: Advances in Artificial\n                        Intelligence"},{"key":"2023062015082415700_B253","first-page":"264","article-title":"The linkage tree genetic\n                        algorithm","author":"Thierens","year":"2010","journal-title":"International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B254","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1145\/2001576.2001661","article-title":"Optimal mixing evolutionary algorithms","author":"Thierens","year":"2011","journal-title":"Proceedings of the 13th Annual Conference on Genetic and\n                            Evolutionary Computation (GECCO)"},{"key":"2023062015082415700_B255","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/CEC.2004.1331058","article-title":"Multimodal optimization using\n                        crowding-based differential evolution","volume":"2","author":"Thomsen","year":"2004","journal-title":"Proceedings of the 2004 Congress on Evolutionary\n                            Computation (IEEE Cat. No. 04TH8753)"},{"key":"2023062015082415700_B256","first-page":"657","article-title":"Multi-parent recombination with simplex\n                        crossover in real coded genetic algorithms","author":"Tsutsui","year":"1999","journal-title":"Proceedings of the 1st Annual Conference on Genetic and\n                            Evolutionary Computation (GECCO)"},{"key":"2023062015082415700_B257","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1007\/978-3-319-99253-2_39","article-title":"Optimisation and illumination of a\n                        real-world workforce scheduling and routing application (WSRP) via\n                        Map-Elites","volume":"11101","author":"Urquhart","year":"2018","journal-title":"Proceedings of the 15th\n                            International Conference on Parallel Problem Solving from\n                            Nature"},{"key":"2023062015082415700_B258","article-title":"Identifying properties of real-world\n                        optimisation problems through a questionnaire","author":"van der Blom","year":"2020"},{"key":"2023062015082415700_B259","first-page":"1","article-title":"Evolving the structure of evolution\n                        strategies","author":"van Rijn","year":"2016","journal-title":"2016 IEEE Symposium Series on\n                            Computational Intelligence"},{"issue":"3","key":"2023062015082415700_B261","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1007\/s10489-019-01549-7","article-title":"Cluster-based Kriging approximation\n                        algorithms for complexity reduction","volume":"50","author":"Van Stein","year":"2020","journal-title":"Applied\n                            Intelligence"},{"key":"2023062015082415700_B262","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-319-99253-2_1","article-title":"A comparative study of large-scale\n                        variants of CMA-ES","author":"Varelas","year":"2018","journal-title":"Parallel Problem\n                            Solving from Nature"},{"issue":"4","key":"2023062015082415700_B263","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1109\/TEVC.2017.2735550","article-title":"Using centroidal Voronoi tessellations\n                        to scale up the multidimensional archive of phenotypic elites\n                        algorithm","volume":"22","author":"Vassiliades","year":"2017","journal-title":"IEEE Transactions on Evolutionary\n                            Computation"},{"key":"2023062015082415700_B264","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1145\/3321707.3321803","article-title":"Online selection of CMA-ES\n                        variants","author":"Vermetten","year":"2019","journal-title":"Proceedings of the Genetic and\n                            Evolutionary Computation Conference (GECCO)"},{"key":"2023062015082415700_B265","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1145\/3377930.3390189","article-title":"Towards dynamic algorithm selection for\n                        numerical black-box optimization: investigating BBOB as a use\n                        case","author":"Vermetten","year":"2020","journal-title":"Proceedings of the 2020 Genetic and\n                            Evolutionary Computation Conference"},{"key":"2023062015082415700_B266","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1007\/978-3-540-70928-2_56","article-title":"Pareto-, aggregation-, and\n                        indicator-based methods in many-objective optimization","volume":"4403","author":"Wagner","year":"2007","journal-title":"Proceedings of the 4th International Conference on\n                            Evolutionary Multi-Criterion Optimization"},{"key":"2023062015082415700_B267","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2015.09.032","article-title":"A knowledge-based evolutionary proactive\n                        scheduling approach in the presence of machine breakdown and deterioration\n                        effect","author":"Wang","year":"2015","journal-title":"Knowledge-Based\n                        Systems"},{"key":"2023062015082415700_B268","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1145\/2554850.2555089","article-title":"Mirrored orthogonal sampling with\n                        pairwise selection in evolution strategies","author":"Wang","year":"2014","journal-title":"Proceedings of the 29th Annual ACM Symposium on Applied\n                            Computing"},{"issue":"1","key":"2023062015082415700_B269","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3510426","article-title":"IOHanalyzer: Detailed performance\n                        analyses for iterative optimization heuristics","volume":"2","author":"Wang","year":"2022","journal-title":"ACM Transactions on Evolutionary Learning and\n                            Optimization"},{"key":"2023062015082415700_B270","first-page":"64","article-title":"Theoretical aspects of evolutionary\n                        algorithms","volume":"2076","author":"Wegener","year":"2001","journal-title":"Proceedings of the 28th\n                            International Colloquium on Automata, Languages and\n                        Programming"},{"issue":"2","key":"2023062015082415700_B271","doi-asserted-by":"publisher","first-page":"50","DOI":"10.4018\/jamc.2010040104","article-title":"A rigorous analysis of the Harmony\n                        Search algorithm: How the research community can be misled by a\n                        \u201cnovel\u201d methodology","volume":"1","author":"Weyland","year":"2010","journal-title":"International Journal of Applied Metaheuristic\n                            Computing"},{"key":"2023062015082415700_B272","article-title":"An overview of schema\n                        theory","author":"White","year":"2014"},{"key":"2023062015082415700_B273","first-page":"245","volume-title":"Next generation genetic algorithms: A\n                            user's guide and tutorial","author":"Whitley","year":"2019"},{"key":"2023062015082415700_B274","first-page":"566","article-title":"A hybrid genetic algorithm for the traveling salesman problem\n                        using generalized partition crossover","volume":"6238","author":"Whitley","year":"2010","journal-title":"Proceedings of the 11th International Conference on\n                            Parallel Problem Solving from Nature"},{"key":"2023062015082415700_B275","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/TEVC.2007.907558","article-title":"Registration of CT and intraoperative\n                        3-D ultrasound images of the spine using evolutionary and gradient-based\n                        methods","volume":"12","author":"Winter","year":"2008","journal-title":"IEEE Transactions on Evolutionary\n                            Computation"},{"issue":"1","key":"2023062015082415700_B276","first-page":"65","article-title":"Runtime analysis of the\n                                        (\u03bc+1)\n                        EA on simple pseudo-Boolean functions","volume":"14","author":"Witt","year":"2006","journal-title":"Evolutionary Computation"},{"issue":"2","key":"2023062015082415700_B277","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1017\/S0963548312000600","article-title":"Tight bounds on the optimization time of\n                        a randomized search heuristic on linear functions","volume":"22","author":"Witt","year":"2013","journal-title":"Combinatorics, Probability &\n                        Computing"},{"key":"2023062015082415700_B278","doi-asserted-by":"publisher","first-page":"41256","DOI":"10.1109\/ACCESS.2018.2856832","article-title":"Interactive multiobjective optimization:\n                        A review of the state-of-the-art","volume":"6","author":"Xin","year":"2018","journal-title":"IEEE\n                            Access"},{"key":"2023062015082415700_B279","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1109\/ICEC.1995.487462","article-title":"Evolutionary algorithms with a coarse-to-fine function\n                        smoothing","volume":"2","author":"Yang","year":"1995","journal-title":"Proceedings of 1995 IEEE\n                            International Conference on Evolutionary Computation"},{"key":"2023062015082415700_B280","first-page":"451","article-title":"Fast evolutionary\n                        programming","author":"Yao","year":"1996","journal-title":"Proceedings of the Fifth\n                            Annual Conference on Evolutionary Programming"},{"key":"2023062015082415700_B281","article-title":"Benchmarking discrete optimization\n                        heuristics: From building a sound experimental environment to algorithm\n                        configuration","author":"Ye","year":"2022"},{"key":"2023062015082415700_B282","first-page":"2292","article-title":"Interpolating local and global search by\n                        controlling the variance of standard bit mutation","author":"Ye","year":"2019","journal-title":"IEEE Congress on Evolutionary\n                        Computation"},{"issue":"6","key":"2023062015082415700_B283","doi-asserted-by":"publisher","first-page":"1526","DOI":"10.1109\/TEVC.2022.3159087","article-title":"Automated configuration of genetic\n                        algorithms by tuning for anytime performance","volume":"26","author":"Ye","year":"2022","journal-title":"IEEE Transactions on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B284","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1007\/978-3-030-58115-2_49","article-title":"Benchmarking a\n                                        (\u03bc+\u03bb)\n                        genetic algorithm with configurable crossover probability","volume-title":"Proceedings of the 16th International Conference on Parallel\n                            Problem Solving from Nature","author":"Ye","year":"2020"},{"issue":"2","key":"2023062015082415700_B285","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1007\/s00158-019-02391-8","article-title":"A dynamic surrogate-assisted\n                        evolutionary algorithm framework for expensive structural\n                        optimization","volume":"61","author":"Yu","year":"2020","journal-title":"Structural and\n                            Multidisciplinary Optimization"},{"key":"2023062015082415700_B286","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107747","article-title":"A twofold infill criterion-driven\n                        heterogeneous ensemble surrogate-assisted evolutionary algorithm for\n                        computationally expensive problems","volume":"236","author":"Yu","year":"2022","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"2023062015082415700_B287","doi-asserted-by":"publisher","first-page":"3880","DOI":"10.1016\/j.eswa.2008.02.039","article-title":"Hybrid Nelder\u2013Mead simplex search\n                        and particle swarm optimization for constrained engineering design\n                        problems","volume":"36","author":"Zahara","year":"2009","journal-title":"Expert Systems with\n                            Applications"},{"key":"2023062015082415700_B288","first-page":"62","article-title":"Critical values for control parameters\n                        of differential evolution algorithm","author":"Zaharie","year":"2002","journal-title":"Proceedings of 8th International Mendel Conference on\n                            Soft Computing"},{"key":"2023062015082415700_B289","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1109\/CEC.2017.7969521","article-title":"Revisiting the analysis of population\n                        variance in differential evolution algorithms","author":"Zaharie","year":"2017","journal-title":"2017 IEEE Congress on Evolutionary\n                        Computation"},{"key":"2023062015082415700_B290","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/978-3-642-29353-5_18","article-title":"Population reduction differential\n                        evolution with multiple mutation strategies in real world industry\n                        challenges","volume-title":"Swarm and evolutionary\n                            computation","author":"Zamuda","year":"2012"},{"key":"2023062015082415700_B291","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/CEC.2007.4424751","article-title":"JADE: Self-adaptive differential evolution with fast and\n                        reliable convergence performance","author":"Zhang","year":"2007","journal-title":"2007\n                            IEEE Congress on Evolutionary Computation"},{"key":"2023062015082415700_B292","first-page":"10408","article-title":"A first mathematical runtime analysis of\n                        the non-dominated sorting genetic algorithm II (NSGA-II)","author":"Zheng","year":"2022","journal-title":"Thirty-Sixth AAAI Conference on Artificial Intelligence,\n                            AAAI 2022"},{"key":"2023062015082415700_B293","doi-asserted-by":"publisher","first-page":"2832","DOI":"10.1109\/CEC.2005.1555050","article-title":"A study on polynomial regression and\n                        Gaussian process global surrogate model in hierarchical surrogate-assisted\n                        evolutionary algorithm","volume":"3","author":"Zhou","year":"2005","journal-title":"2005 IEEE\n                            Congress on Evolutionary Computation"},{"key":"2023062015082415700_B294","article-title":"SPEA2: Improving the Strength\n                            Pareto Evolutionary Algorithm","volume":"103","author":"Zitzler","year":"2001"}],"container-title":["Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/evco\/article-pdf\/31\/2\/81\/2133989\/evco_a_00325.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/evco\/article-pdf\/31\/2\/81\/2133989\/evco_a_00325.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T15:14:58Z","timestamp":1687274098000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/evco\/article\/31\/2\/81\/115462\/Evolutionary-Algorithms-for-Parameter-Optimization"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":293,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,6,1]]},"published-print":{"date-parts":[[2023,6,1]]}},"URL":"https:\/\/doi.org\/10.1162\/evco_a_00325","relation":{},"ISSN":["1530-9304"],"issn-type":[{"value":"1530-9304","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023]]},"published":{"date-parts":[[2023]]}}}