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A constrained multi-objective optimization algorithm using an efficient global diversity strategy

Abstract When solving constrained multi-objective optimization problems (CMOPs), multiple conflicting objectives and multiple constraints need to be considered simultaneously, which are challenging to handle. Although some recent constrained multi-objective evolutionary algorithms (CMOEAs) have been...

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Hlavní autoři: Wenyi Long, Huachao Dong, Peng Wang, Yan Huang, Jinglu Li, Xubo Yang, Chongbo Fu
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer 2022-09-01
Edice:Complex & Intelligent Systems
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On-line přístup:https://doi.org/10.1007/s40747-022-00851-1
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