A Survey on Evolutionary Constrained Multiobjective Optimization

Handling constrained multiobjective optimization problems (CMOPs) is extremely challenging, since multiple conflicting objectives subject to various constraints require to be simultaneously optimized. To deal with CMOPs, numerous constrained multiobjective evolutionary algorithms (CMOEAs) have been...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 27; číslo 2; s. 201 - 221
Hlavní autori:	Liang, Jing, Ban, Xuanxuan, Yu, Kunjie, Qu, Boyang, Qiao, Kangjia, Yue, Caitong, Chen, Ke, Tan, Kay Chen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Benchmark test problems Benchmark testing constrained multiobjective optimization constraint handling Constraints Convergence Evolutionary algorithms Evolutionary computation Literature reviews Multiple objective analysis Optimization Pareto optimization Sociology Statistics
ISSN:	1089-778X, 1941-0026
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