A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization

Most existing multiobjective evolutionary algorithms treat all decision variables as a whole to perform genetic operations and optimize all objectives with one population at the same time. Considering different control attributes, different decision variables have different optimization effects on e...

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Vydáno v:	IEEE transactions on cybernetics Ročník 53; číslo 11; s. 6998 - 7007
Hlavní autoři:	Xu, Ying, Xu, Chong, Zhang, Huan, Huang, Lei, Liu, Yiping, Nojima, Yusuke, Zeng, Xiangxiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Clustering algorithms Convergence Decision variables analysis Diversity methods Evolutionary algorithms Evolutionary computation Genetic algorithms large-scale manyobjective optimization large-scale multiobjective optimization Mathematical analysis multiobjective evolutionary algorithm Multiple objective analysis multipopulation multiobjective evolutionary algorithm Optimization Sociology Statistics Variables
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
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