A coevolution algorithm based on two-staged strategy for constrained multi-objective problems

Constrained Multiobjective Problem (CMOP) is widely used in engineering applications, but the current constrained Multiobjective Optimization algorithms (CMOEA) often fails to effectively balance convergence and diversity. For this purpose, a two-stage co-evolution constrained multi-objective optimi...

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Vydáno v:	Applied intelligence (Dordrecht, Netherlands) Ročník 52; číslo 15; s. 17954 - 17973
Hlavní autoři:	Fan, Chaodong, Wang, Jiawei, Xiao, Leyi, Cheng, Fanyong, Ai, Zhaoyang, Zeng, Zhenhuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2022 Springer Nature B.V
Témata:	Artificial Intelligence Computer Science Convergence Evolutionary algorithms Machines Manufacturing Mechanical Engineering Multiple objective analysis Optimization Pareto optimization Population distribution Processes Search process Constrained multi-objective evolutionary algorithms Coevolution Multiobjective optimization Constraint handling technique
ISSN:	0924-669X, 1573-7497
On-line přístup:	Získat plný text
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