Moboa: a proposal for multiple objective bean optimization algorithm

Abstract The primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective optimization problem (MaOP). This implies that th...

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書誌詳細

出版年:	Complex & Intelligent Systems
主要な著者:	Lele Xie, Xiaoli Lu, Hang Liu, Yongqiang Hu, Xiaoming Zhang, Shangshang Yang
フォーマット:	論文
言語:	英語
出版事項:	Springer 2024-06-01
主題:	Preference order equilibrium parent species selection Multi-population global search Environmental selection Bean optimization algorithm Multi-objective optimization problems (MOPs) Many-objective optimization problems (MaOPs)
オンライン･アクセス:	https://doi.org/10.1007/s40747-024-01523-y