{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:17:42Z","timestamp":1740107862836,"version":"3.37.3"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2016,8,27]],"date-time":"2016-08-27T00:00:00Z","timestamp":1472256000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2012CB821205"],"award-info":[{"award-number":["2012CB821205"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Foundation for Creative Research Groups of the National Natural Science Foundation of China","award":["61021002"],"award-info":[{"award-number":["61021002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61174037"],"award-info":[{"award-number":["61174037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Funds of China Academy of Space Technology","award":["CAST20120602"],"award-info":[{"award-number":["CAST20120602"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s00500-016-2323-7","type":"journal-article","created":{"date-parts":[[2016,8,27]],"date-time":"2016-08-27T09:08:42Z","timestamp":1472288922000},"page":"6043-6061","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["An adaptive multiobjective estimation of distribution algorithm with a novel Gaussian sampling strategy"],"prefix":"10.1007","volume":"21","author":[{"given":"Tao","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9658-3188","authenticated-orcid":false,"given":"Hu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenbiao","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naigang","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,27]]},"reference":[{"issue":"1","key":"2323_CR1","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","volume":"19","author":"J Bader","year":"2011","unstructured":"Bader J, Zitzler E (2011) HypE: an algorithm for fast hypervolume-based many-objective optimization. Evolut Comput 19(1):45\u201376","journal-title":"Evolut Comput"},{"issue":"3","key":"2323_CR2","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1016\/j.ejor.2006.08.008","volume":"181","author":"N Beume","year":"2007","unstructured":"Beume N, Naujoks B, Emmerich M (2007) SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur J Oper Res 181(3):1653\u20131669","journal-title":"Eur J Oper Res"},{"issue":"3","key":"2323_CR3","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0888-613X(02)00090-7","volume":"31","author":"PA Bosman","year":"2002","unstructured":"Bosman PA, Thierens D (2002) Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. Int J Approx Reason 31(3):259\u2013289","journal-title":"Int J Approx Reason"},{"key":"2323_CR4","doi-asserted-by":"crossref","unstructured":"Bosman PA, Thierens D (2007) Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. In: Proceedings of the 9th annual conference on genetic and evolutionary computation, ACM, pp 500\u2013507","DOI":"10.1145\/1276958.1277067"},{"issue":"6","key":"2323_CR5","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1109\/TEVC.2015.2395073","volume":"19","author":"R Cheng","year":"2015","unstructured":"Cheng R, Jin Y, Narukawa K, Sendhoff B (2015) A multiobjective evolutionary algorithm using Gaussian process-based inverse modeling. IEEE Trans Evolut Comput 19(6):838\u2013856","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR6","doi-asserted-by":"crossref","DOI":"10.1002\/9780470140529","volume-title":"Learning from data: concepts, theory, and methods","author":"V Cherkassky","year":"2007","unstructured":"Cherkassky V, Mulier FM (2007) Learning from data: concepts, theory, and methods. Wiley, Hokoben"},{"key":"2323_CR7","doi-asserted-by":"crossref","unstructured":"Corne DW, Knowles JD, Oates MJ (2000) The pareto envelope-based selection algorithm for multiobjective optimization. In: Proceedings of the 6th workshop on parallel problem solving from nature (PPSN VI). Springer, pp 839\u2013848","DOI":"10.1007\/3-540-45356-3_82"},{"key":"2323_CR8","unstructured":"Corne DW, Jerram NR, Knowles JD, Oates MJ, Martin J (2001) PESA-II: region-based selection in evolutionary multiobjective optimization. In: Proceedings of the genetic and evolutionary computation conference (GECCO 2001). Morgan Kaufmann Publishers, pp 283\u2013290"},{"key":"2323_CR9","doi-asserted-by":"crossref","unstructured":"Costa M, Minisci E (2003) MOPED: a multi-objective parzen-based estimation of distribution algorithm for continuous problems. In: Proceedings of the 2nd international conference on evolutionary multi-criterion optimization. Springer, pp 282\u2013294","DOI":"10.1007\/3-540-36970-8_20"},{"key":"2323_CR10","volume-title":"Multi-objective optimization using evolutionary algorithms","author":"K Deb","year":"2001","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester"},{"issue":"4","key":"2323_CR11","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints. IEEE Trans Evolut Comput 18(4):577\u2013601","journal-title":"IEEE Trans Evolut Comput"},{"issue":"2","key":"2323_CR12","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR13","unstructured":"Fonseca CM, Fleming PJ (1993) Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Proceedings of the 5th conference on genetic algorithms, vol 93, pp 416\u2013423"},{"issue":"5B","key":"2323_CR14","first-page":"3677","volume":"8","author":"F Gu","year":"2012","unstructured":"Gu F, Liu HL, Tan KC (2012) A multiobjective evolutionary algorithm using dynamic weight design method. Int J Innov Comput Inf Control 8(5B):3677\u20133688","journal-title":"Int J Innov Comput Inf Control"},{"issue":"2","key":"2323_CR15","first-page":"83","volume":"27","author":"T Hastie","year":"2005","unstructured":"Hastie T, Tibshirani R, Friedman J, Franklin J (2005) The elements of statistical learning: data mining, inference and prediction. Math Intell 27(2):83\u201385","journal-title":"Math Intell"},{"key":"2323_CR16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-0348-8280-4","volume-title":"Nonlinear multiobjective optimization-a generalized homotopy approach","author":"C Hillermeier","year":"2001","unstructured":"Hillermeier C (2001) Nonlinear multiobjective optimization-a generalized homotopy approach. Birkh\u00e4user Verlag, Basel"},{"key":"2323_CR17","doi-asserted-by":"crossref","unstructured":"Horn J, Nafpliotis N, Goldberg DE (1994) A niched pareto genetic algorithm for multiobjective optimization. In: Proceedings of the 1st IEEE conference on evolutionary computation. IEEE, pp 82\u201387","DOI":"10.1109\/ICEC.1994.350037"},{"issue":"3","key":"2323_CR18","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/5326.704576","volume":"28","author":"H Ishibuchi","year":"1998","unstructured":"Ishibuchi H, Murata T (1998) A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans Syst Man Cybern Part C Appl Rev 28(3):392\u2013403","journal-title":"IEEE Trans Syst Man Cybern Part C Appl Rev"},{"issue":"2","key":"2323_CR19","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TCYB.2015.2403131","volume":"46","author":"S Jiang","year":"2015","unstructured":"Jiang S, Yang S (2015) An improved multi-objective optimization evolutionary algorithm based on decomposition for complex pareto fronts. IEEE Trans Cybern 46(2):421\u2013437","journal-title":"IEEE Trans Cybern"},{"key":"2323_CR20","doi-asserted-by":"crossref","unstructured":"Jourdan L, Corne D, Savic D, Walters G (2005) Preliminary investigation of the learnable evolution model for faster\/better multiobjective water systems design. In: Proceedings of the 3rd international conference on evolutionary multi-criterion optimization. Springer, pp 841\u2013855","DOI":"10.1007\/978-3-540-31880-4_58"},{"issue":"4","key":"2323_CR21","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1109\/TEVC.2013.2281524","volume":"18","author":"H Karshenas","year":"2014","unstructured":"Karshenas H, Santana R, Bielza C, Larranaga P (2014) Multiobjective estimation of distribution algorithm based on joint modeling of objectives and variables. IEEE Trans Evolut Comput 18(4):519\u2013542","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR22","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-1539-5","volume-title":"Estimation of distribution algorithms: a new tool for evolutionary computation","author":"P Larra\u00f1aga","year":"2002","unstructured":"Larra\u00f1aga P, Lozano JA (2002) Estimation of distribution algorithms: a new tool for evolutionary computation, vol 2. Springer Science & Business Media, New York"},{"issue":"5","key":"2323_CR23","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/s10732-012-9208-4","volume":"18","author":"P Larra\u00f1aga","year":"2012","unstructured":"Larra\u00f1aga P, Karshenas H, Bielza C, Santana R (2012) A review on probabilistic graphical models in evolutionary computation. J Heuristics 18(5):795\u2013819","journal-title":"J Heuristics"},{"key":"2323_CR24","doi-asserted-by":"crossref","unstructured":"Laumanns M, Ocenasek J (2002) Bayesian optimization algorithms for multi-objective optimization. In: Proceedings of the 7th international conference parallel problem solving from nature (PPSN VII). Springer, pp 298\u2013307","DOI":"10.1007\/3-540-45712-7_29"},{"issue":"2","key":"2323_CR25","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TEVC.2008.925798","volume":"13","author":"H Li","year":"2009","unstructured":"Li H, Zhang Q (2009) Multiobjective optimization problems with complicated Pareto sets, MOEA\/D and NSGA-II. IEEE Trans Evolut Comput 13(2):284\u2013302","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR26","doi-asserted-by":"crossref","unstructured":"Li H, Zhang Q, Tsang E, Ford JA (2004) Hybrid estimation of distribution algorithm for multiobjective knapsack problem. In: Proceedings of the 4th European conference on evolutionary computation in combinatorial optimization (EvoCOP 2004). Springer, pp 145\u2013154","DOI":"10.1007\/978-3-540-24652-7_15"},{"key":"2323_CR27","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.neucom.2014.03.070","volume":"146","author":"K Li","year":"2014","unstructured":"Li K, Kwong S (2014) A general framework for evolutionary multiobjective optimization via manifold learning. Neurocomputing 146:65\u201374","journal-title":"Neurocomputing"},{"issue":"7","key":"2323_CR28","first-page":"1","volume":"18","author":"Y Li","year":"2013","unstructured":"Li Y, Xu X, Li P, Jiao L (2013) Improved RM-MEDA with local learning. Soft Comput 18(7):1\u201315","journal-title":"Soft Comput"},{"key":"2323_CR29","doi-asserted-by":"crossref","unstructured":"Liu HL, Gu F, Cheung Y (2010) T-MOEA\/D: MOEA\/D with objective transform in multi-objective problems. In: Proceedings of the 2010 international conference of information science and management engineering (ISME 2010), vol 2. IEEE, pp 282\u2013285","DOI":"10.1109\/ISME.2010.274"},{"issue":"3","key":"2323_CR30","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TEVC.2013.2281533","volume":"18","author":"HL Liu","year":"2014","unstructured":"Liu HL, Gu F, Zhang Q (2014) Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems. IEEE Trans Evolut Comput 18(3):450\u2013455","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR31","doi-asserted-by":"crossref","unstructured":"Mart\u00ed L, Garc\u00eda J, Berlanga A, Molina JM (2009) Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. In: Proceedings of the 11th annual conference on genetic and evolutionary computation. ACM, pp 619\u2013626","DOI":"10.1145\/1569901.1569987"},{"issue":"2","key":"2323_CR32","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.orl.2011.01.002","volume":"39","author":"L Mart\u00ed","year":"2011","unstructured":"Mart\u00ed L, Garc\u00eda J, Berlanga A, Coello CAC, Molina JM (2011) MB-GNG: addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Oper Res Lett 39(2):150\u2013154","journal-title":"Oper Res Lett"},{"key":"2323_CR33","doi-asserted-by":"crossref","unstructured":"Marti L, Grimme C, Kerschke P, Trautmann H, Rudolph G (2015) Averaged hausdorff approximations of pareto fronts based on multiobjective estimation of distribution algorithms. arXiv preprint arXiv:1503.07845 [math]","DOI":"10.1145\/2739482.2764631"},{"key":"2323_CR34","doi-asserted-by":"crossref","unstructured":"Menchaca-Mendez A, Coello CAC (2015) GD-MOEA: a new multi-objective evolutionary algorithm based on the generational distance indicator. In: Proceedings of the 8th international conference on evolutionary multi-criterion optimization (EMO 2015). Springer, pp 156\u2013170","DOI":"10.1007\/978-3-319-15934-8_11"},{"key":"2323_CR35","doi-asserted-by":"crossref","unstructured":"Michalski RS (2000) Learnable evolution model: evolutionary processes guided by machine learning. Mach Learn 38(1\u20132):9\u201340","DOI":"10.1023\/A:1007677805582"},{"key":"2323_CR36","volume-title":"Nonlinear multiobjective optimization","author":"K Miettinen","year":"1999","unstructured":"Miettinen K (1999) Nonlinear multiobjective optimization. Kluwer, Boston"},{"key":"2323_CR37","doi-asserted-by":"crossref","unstructured":"Murata T, Ishibuchi H, Gen M (2001) Specification of genetic search directions in cellular multi-objective genetic algorithms. In: Proceedings of the 1st international conference on evolutionary multi-criterion optimization (EMO 2001). Springer, pp 82\u201395","DOI":"10.1007\/3-540-44719-9_6"},{"key":"2323_CR38","doi-asserted-by":"crossref","unstructured":"Okabe T, Jin Y, Sendoff B, Olhofer M (2004) Voronoi-based estimation of distribution algorithm for multi-objective optimization. In: Proceedings of 2004 IEEE congress on evolutionary computation (CEC 2004), vol 2. IEEE, pp 1594\u20131601","DOI":"10.1109\/CEC.2004.1331086"},{"key":"2323_CR39","doi-asserted-by":"crossref","unstructured":"Pelikan M, Sastry K, Goldberg DE (2005) Multiobjective hBOA, clustering, and scalability. In: Proceedings of the 7th annual conference on genetic and evolutionary computation. ACM, pp 663\u2013670","DOI":"10.1145\/1068009.1068122"},{"key":"2323_CR40","doi-asserted-by":"crossref","unstructured":"Pelikan M, Sastry K, Goldberg DE (2006) Multiobjective estimation of distribution algorithms. In: Scalable optimization via probabilistic modeling. Springer, pp 223\u2013248","DOI":"10.1007\/978-3-540-34954-9_10"},{"key":"2323_CR41","doi-asserted-by":"crossref","unstructured":"Phan DH, Suzuki J (2013) R2-IBEA: R2 indicator based evolutionary algorithm for multiobjective optimization. In: Proceedings of 2013 IEEE congress on evolutionary computation (CEC 2013). IEEE, pp 1836\u20131845","DOI":"10.1109\/CEC.2013.6557783"},{"key":"2323_CR42","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez Villalobos CA, Coello Coello CA (2012) A new multi-objective evolutionary algorithm based on a performance assessment indicator. In: Proceedings of the 14th annual conference on genetic and evolutionary computation. ACM, pp 505\u2013512","DOI":"10.1145\/2330163.2330235"},{"key":"2323_CR43","doi-asserted-by":"crossref","unstructured":"Sastry K, Goldberg DE, Pelikan M (2005) Limits of scalability of multiobjective estimation of distribution algorithms. In: Proceedings of 2005 IEEE congress on evolutionary computation (CEC 2005), vol 3. IEEE, pp 2217\u20132224","DOI":"10.1109\/CEC.2005.1554970"},{"key":"2323_CR44","unstructured":"Schaffer JD (1985) Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of the 1st international conference on genetic algorithms and their applications. Lawrence Erlbaum Associates, pp 93\u2013100"},{"key":"2323_CR45","doi-asserted-by":"crossref","unstructured":"Shim VA, Tan KC (2012) Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization. In: Advances in computational intelligence. Springer, pp 122\u2013144","DOI":"10.1007\/978-3-642-30687-7_7"},{"issue":"5","key":"2323_CR46","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1109\/TSMCC.2012.2188285","volume":"42","author":"VA Shim","year":"2012","unstructured":"Shim VA, Tan K, Cheong C (2012) A hybrid estimation of distribution algorithm with decomposition for solving the multiobjective multiple traveling salesman problem. IEEE Trans Syst Man Cybern Part C Appl Rev 42(5):682\u2013691","journal-title":"IEEE Trans Syst Man Cybern Part C Appl Rev"},{"issue":"1","key":"2323_CR47","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/EVCO_a_00066","volume":"21","author":"VA Shim","year":"2013","unstructured":"Shim VA, Tan KC, Chia JY, Al Mamun A (2013) Multi-objective optimization with estimation of distribution algorithm in a noisy environment. Evolut Comput 21(1):149\u2013177","journal-title":"Evolut Comput"},{"key":"2323_CR48","doi-asserted-by":"crossref","unstructured":"Soh H, Kirley M (2006) mopga: Towards a new generation of multi-objective genetic algorithms. In: Proceedings of IEEE congress on evolutionary computation (CEC 2006). IEEE, pp 1702\u20131709","DOI":"10.1109\/CEC.2006.1688513"},{"key":"2323_CR49","doi-asserted-by":"crossref","unstructured":"Wang H, Zhang Q, Jiao L, Yao X (2015) Regularity model for noisy multiobjective optimization. IEEE Trans Cybern","DOI":"10.1109\/TCYB.2015.2459137"},{"issue":"11","key":"2323_CR50","doi-asserted-by":"crossref","first-page":"3526","DOI":"10.1016\/j.asoc.2012.06.008","volume":"12","author":"Y Wang","year":"2012","unstructured":"Wang Y, Xiang J, Cai Z (2012) A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant cluster operator. Appl Soft Comput 12(11):3526\u20133538","journal-title":"Appl Soft Comput"},{"key":"2323_CR51","doi-asserted-by":"crossref","DOI":"10.1002\/9780470382776","volume-title":"Clustering","author":"R Xu","year":"2008","unstructured":"Xu R, Wunsch D (2008) Clustering. Wiley, Hokoben"},{"key":"2323_CR52","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-84996-129-5","volume-title":"Introduction to evolutionary algorithms","author":"X Yu","year":"2010","unstructured":"Yu X, Gen M (2010) Introduction to evolutionary algorithms. Springer, London"},{"issue":"6","key":"2323_CR53","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang Q, Li H (2007) MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evolut Comput 11(6):712\u2013731","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR54","doi-asserted-by":"crossref","unstructured":"Zhang Q, Zhou A, Jin Y (2008) RM-MEDA: a regularity model based multiobjective estimation of distribution algorithm. IEEE Trans Evolut Comput 12(1):41\u201363","DOI":"10.1109\/TEVC.2007.894202"},{"key":"2323_CR55","unstructured":"Zhang H, Zhang X, Gao XZ, Song S (2015) Self-organizing multiobjective optimization based on decomposition with neighborhood ensemble. Neurocomputing 173(P3):1868\u20131884"},{"key":"2323_CR56","doi-asserted-by":"crossref","unstructured":"Zhong X, Li W (2007) A decision-tree-based multi-objective estimation of distribution algorithm. In: Proceedings of 2007 international conference on computational intelligence and security. IEEE, pp 114\u201311","DOI":"10.1109\/CIS.2007.136"},{"key":"2323_CR57","doi-asserted-by":"crossref","unstructured":"Zhou A, Zhang Q, Jin Y, Tsang E, Okabe T (2005) A model-based evolutionary algorithm for bi-objective optimization. In: Proceedings of 2005 IEEE congress on evolutionary computation (CEC 2005), vol 3, pp 2568\u20132575","DOI":"10.1109\/CEC.2005.1555016"},{"issue":"5","key":"2323_CR58","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1109\/TEVC.2009.2021467","volume":"13","author":"A Zhou","year":"2009","unstructured":"Zhou A, Zhang Q, Jin Y (2009) Approximating the set of pareto-optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm. IEEE Trans Evolut Comput 13(5):1167\u20131189","journal-title":"IEEE Trans Evolut Comput"},{"issue":"1","key":"2323_CR59","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou A, Qu BY, Li H, Zhao SZ, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: a survey of the state of the art. Swarm Evolut Comput 1(1):32\u201349","journal-title":"Swarm Evolut Comput"},{"key":"2323_CR60","doi-asserted-by":"crossref","unstructured":"Zhou A, Zhang Q, Zhang G (2012) A multiobjective evolutionary algorithm based on decomposition and probability model. In: Proceedings of 2012 IEEE congress on evolutionary computation (CEC 2012), pp 1\u20138","DOI":"10.1109\/CEC.2012.6252954"},{"key":"2323_CR61","doi-asserted-by":"crossref","unstructured":"Zhou A, Zhang Q, Zhang G (2013) Approximation model guided selection for evolutionary multiobjective optimization. In: Proceedings of the 7th international conference on evolutionary multi-criterion optimization (EMO 2013). Springer, pp 398\u2013412","DOI":"10.1007\/978-3-642-37140-0_31"},{"issue":"5","key":"2323_CR62","first-page":"913","volume":"25","author":"A Zhou","year":"2014","unstructured":"Zhou A, Zhang Q, Zhang G (2014) Multiobjective evolutionary algorithm based on mixture gaussian models. J Softw 25(5):913\u2013928","journal-title":"J Softw"},{"key":"2323_CR63","doi-asserted-by":"crossref","unstructured":"Zhou A, Zhang Y, Zhang G, Gong W (2015) On neighborhood exploration and subproblem exploitation in decomposition based multiobjective evolutionary algorithms. In: Proceedings of 2015 IEEE congress on evolutionary computation (CEC 2015). IEEE, pp 1704\u20131711","DOI":"10.1109\/CEC.2015.7257092"},{"key":"2323_CR64","doi-asserted-by":"crossref","unstructured":"Zitzler E, K\u00fcnzli S (2004) Indicator-based selection in multiobjective search. In: Proceedings of the 8th international conference on parallel problem solving from nature (PPSN VIII), vol 3242. Springer, pp 832\u2013842","DOI":"10.1007\/978-3-540-30217-9_84"},{"issue":"4","key":"2323_CR65","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler E, Thiele L (1999) Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans Evolut Comput 3(4):257\u2013271","journal-title":"IEEE Trans Evolut Comput"},{"key":"2323_CR66","unstructured":"Zitzler E, Laumanns M, Thiele L (2002) SPEA2: improving the strength pareto evolutionary algorithm for multiobjective optimization. In: Proceedings of evolutionary methods for design, optimisation, and control conference. CIMNE, Barcelona, Spain, pp 95\u2013100"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-016-2323-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2323-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2323-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-016-2323-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T04:08:48Z","timestamp":1589688528000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-016-2323-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,27]]},"references-count":66,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["2323"],"URL":"https:\/\/doi.org\/10.1007\/s00500-016-2323-7","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2016,8,27]]}}}