{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T16:59:06Z","timestamp":1725987546245},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319979816"},{"type":"electronic","value":"9783319979823"}],"license":[{"start":{"date-parts":[[2018,8,11]],"date-time":"2018-08-11T00:00:00Z","timestamp":1533945600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-319-97982-3_1","type":"book-chapter","created":{"date-parts":[[2018,8,10]],"date-time":"2018-08-10T18:39:44Z","timestamp":1533926384000},"page":"3-15","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms"],"prefix":"10.1007","author":[{"given":"Kevin","family":"Wilson","sequence":"first","affiliation":[]},{"given":"Shahin","family":"Rostami","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,11]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Aulig, N., Olhofer, M.: Neuro-evolutionary topology optimization of structures by utilizing local state features. In: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, GECCO 2014, pp. 967\u2013974. ACM (2014)","DOI":"10.1145\/2576768.2598314"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Branke, J., Elomari, J.A.: Meta-optimization for parameter tuning with a flexible computing budget. In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, GECCO 2012, pp. 1245\u20131252. ACM (2012)","DOI":"10.1145\/2330163.2330336"},{"issue":"3","key":"1_CR3","doi-asserted-by":"publisher","first-page":"197","DOI":"10.3390\/en9030197","volume":"9","author":"A Coca\u00f1a-Fern\u00e1ndez","year":"2016","unstructured":"Coca\u00f1a-Fern\u00e1ndez, A., S\u00e1nchez, L., Ranilla, J.: Improving the eco-efficiency of high performance computing clusters using EECluster. Energies 9(3), 197 (2016)","journal-title":"Energies"},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimisation: NSGA-II. In: Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, 18-20 September 2000, Proceedings, pp. 849\u2013858 (2000)","DOI":"10.1007\/3-540-45356-3_83"},{"key":"1_CR5","first-page":"30","volume":"26","author":"K Deb","year":"1996","unstructured":"Deb, K., Goyal, M.: A combined genetic adaptive search (geneas) for engineering design. Comput. Sci. Inform. 26, 30\u201345 (1996)","journal-title":"Comput. Sci. Inform."},{"issue":"2","key":"1_CR6","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Desjardins, B., Falcon, R., Abielmona, R., Petriu, E.: A multi-objective optimization approach to reliable robot-assisted sensor relocation. In: 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 956\u2013964 (2015)","DOI":"10.1109\/CEC.2015.7256993"},{"issue":"10","key":"1_CR8","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1016\/j.advengsoft.2011.05.014","volume":"42","author":"JJ Durillo","year":"2011","unstructured":"Durillo, J.J., Nebro, A.J.: jMetal: a java framework for multi-objective optimization. Adv. Eng. Softw. 42(10), 760\u2013771 (2011)","journal-title":"Adv. Eng. Softw."},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Friedrich, T., Bringmann, K., Vo\u00df, T., Igel, C.: The logarithmic hypervolume indicator. In: Proceedings of the 11th Workshop Proceedings on Foundations of Genetic Algorithms, FOGA 2011, pp. 81\u201392. ACM (2011)","DOI":"10.1145\/1967654.1967662"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Hadka, D.: MOEA - a free and open source java framework for multiobjective optimization (2015). https:\/\/github.com\/MOEAFramework\/MOEAFramework","DOI":"10.1016\/j.envsoft.2015.07.014"},{"key":"1_CR11","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.ins.2013.06.051","volume":"250","author":"M Helbig","year":"2013","unstructured":"Helbig, M., Engelbrecht, A.P.: Performance measures for dynamic multi-objective optimisation algorithms. Inf. Sci. 250, 61\u201381 (2013)","journal-title":"Inf. Sci."},{"key":"1_CR12","unstructured":"Igel, C., Heidrich-Meisner, V., Glasmachers, T.: The shark machine learning library (2013). https:\/\/github.com\/Shark-ML\/Shark"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H., Imada, R., Setoguchi, Y., Nojima, Y.: Performance comparison of NSGA-II and NSGA-III on various many-objective test problems. In: 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 3045\u20133052 (2016)","DOI":"10.1109\/CEC.2016.7744174"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H., Tsukamoto, N., Nojima, Y.: Evolutionary many-objective optimization: a short review. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 2419\u20132426 (2008)","DOI":"10.1109\/CEC.2008.4631121"},{"key":"1_CR15","first-page":"431","volume":"9","author":"KDA Kumar","year":"1995","unstructured":"Kumar, K.D.A.: Real-coded genetic algorithms with simulated binary crossover. Complex Syst. 9, 431\u2013454 (1995)","journal-title":"Complex Syst."},{"issue":"1","key":"1_CR16","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/BF02420592","volume":"7","author":"H Lebesgue","year":"1902","unstructured":"Lebesgue, H.: Int\u00e9grale, longueur, aire. Annali di matematica pura ed applicata 7(1), 231\u2013359 (1902)","journal-title":"Annali di matematica pura ed applicata"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Li, M., Yang, S., Liu, X.: A performance comparison indicator for pareto front approximations in many-objective optimization. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO 2015, pp. 703\u2013710. ACM (2015)","DOI":"10.1145\/2739480.2754687"},{"issue":"3","key":"1_CR18","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/BF03024314","volume":"18","author":"Z Michalewicz","year":"1996","unstructured":"Michalewicz, Z., Hartley, S.J.: Genetic algorithms + data structures = evolution programs. Math. Intell. 18(3), 71 (1996)","journal-title":"Math. Intell."},{"key":"1_CR19","unstructured":"Nebro, A.: jMetal: a framework for multi-objective optimization with metaheuristics (2014). https:\/\/github.com\/jMetal\/jMetal"},{"key":"1_CR20","volume-title":"On the evolutionary optimisation of many objectives","author":"RC Purshouse","year":"2003","unstructured":"Purshouse, R.C.: On the evolutionary optimisation of many objectives. University of Sheffield, Sheffield (2003)"},{"issue":"4","key":"1_CR21","doi-asserted-by":"publisher","first-page":"313","DOI":"10.3233\/ICA-160529","volume":"23","author":"S Rostami","year":"2016","unstructured":"Rostami, S., Neri, F.: Covariance matrix adaptation Pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm. Integr. Comput. Aided Eng. 23(4), 313 (2016)","journal-title":"Integr. Comput. Aided Eng."},{"key":"1_CR22","unstructured":"Rostami, S., Shenfield, A.: A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems. Soft Comput. 21, 1\u201317 (2016)"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"dos Santos\u00a0Neto, P.d.A., Britto, R., Rab\u00ealo, R.d.A.L., Cruz, J.J.d.A., Lira, W.A.L.: A hybrid approach to suggest software product line portfolios. Appl. Soft Comput. 49, 1243\u20131255 (2016)","DOI":"10.1016\/j.asoc.2016.08.024"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Soh, H., Demiris, Y.: Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs). In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, GECCO 2011, pp. 713\u2013720. ACM (2011)","DOI":"10.1145\/2001576.2001674"},{"key":"1_CR25","doi-asserted-by":"publisher","first-page":"1232","DOI":"10.1016\/j.asoc.2016.07.059","volume":"49","author":"A Strickler","year":"2016","unstructured":"Strickler, A., Prado Lima, J.A., Vergilio, S.R., Pozo, A.T.R.: Deriving products for variability test of feature models with a hyper-heuristic approach. Appl. Soft Comput. 49, 1232\u20131242 (2016)","journal-title":"Appl. Soft Comput."},{"key":"1_CR26","unstructured":"Svensson, M.K.: Using evolutionary multiobjective optimization algorithms to evolve lacing patterns for bicycle wheels. Master\u2019s thesis, NTNU-Trondheim (2015)"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Vo\u00df, T., Hansen, N., Igel, C.: Improved step size adaptation for the MO-CMA-ES. In: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, GECCO 2010, pp. 487\u2013494. ACM (2010)","DOI":"10.1145\/1830483.1830573"},{"issue":"6","key":"1_CR28","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics Bull. 1(6), 80\u201383 (1945)","journal-title":"Biometrics Bull."},{"key":"1_CR29","first-page":"205","volume":"1","author":"AH Wright","year":"1991","unstructured":"Wright, A.H., et al.: Genetic algorithms for real parameter optimization. Found. Genet. Algorithms 1, 205\u2013218 (1991)","journal-title":"Found. Genet. Algorithms"},{"issue":"2","key":"1_CR30","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: empirical results. Evol. Comput. 8(2), 173\u2013195 (2000)","journal-title":"Evol. Comput."},{"key":"1_CR31","unstructured":"Zitzler, E., Thiele, L.: An evolutionary algorithm for multiobjective optimization: The strength pareto approach. Citeseer, Swiss Federal Institute of Tech (1998)"},{"key":"1_CR32","doi-asserted-by":"crossref","unstructured":"Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., Fonseca, V.G.d.: Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans. Evol. Comput. 7(2), 117\u2013132 (2003)","DOI":"10.1109\/TEVC.2003.810758"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Computational Intelligence Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97982-3_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T02:01:51Z","timestamp":1661738511000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97982-3_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,11]]},"ISBN":["9783319979816","9783319979823"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97982-3_1","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018,8,11]]}}}