A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems

Dynamic interval multiobjective optimization problems (DI-MOPs) are very common in real-world applications. However, there are few evolutionary algorithms (EAs) that are suitable for tackling DI-MOPs up to date. A framework of dynamic interval multiobjective cooperative co-evolutionary optimization...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 24; číslo 1; s. 142 - 156
Hlavní autori:	Gong, Dunwei, Xu, Biao, Zhang, Yong, Guo, Yinan, Yang, Shengxiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Cooperative co-evolutionary optimization dynamic optimization Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic algorithms interval similarity Mopping multiobjective optimization Multiple objective analysis Optimization Pareto optimization Probability distribution Programming response strategy Robots Similarity Sociology Strategy Variables
ISSN:	1089-778X, 1941-0026
On-line prístup:	Získať plný text
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