Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization

Dynamic multi-objective optimization problems (DMOPs) not only involve multiple conflicting objectives, but these objectives may also vary with time, raising a challenge for researchers to solve them. This paper presents a cooperative co-evolutionary strategy based on environment sensitivities for s...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics Jg. 15; H. 6; S. 1877 - 1890
Hauptverfasser:	Xu, Biao, Zhang, Yong, Gong, Dunwei, Guo, Yinan, Rong, Miao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms cooperative co-evolution Dynamic multi-objective optimization Environments evolutionary algorithm Evolutionary algorithms Evolutionary computation Heuristic algorithms Multiple objective analysis Optimization particle swarm Particle swarm optimization Prediction algorithms Sensitivity Sociology State of the art Strategy
ISSN:	1545-5963, 1557-9964, 1557-9964
Online-Zugang:	Volltext
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