A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm

Dynamic constrained multiobjective optimization problems (DCMOPs) have gained increasing attention in the evolutionary computation field during the past years. Among the existing studies, it is a significant challenge to rationally utilize historical knowledge to track the changing Pareto optima in...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence Jg. 8; H. 2; S. 1500 - 1512
Hauptverfasser:	Chen, Guoyu, Guo, Yinan, Jiang, Min, Yang, Shengxiang, Zhao, Xiaoxiao, Gong, Dunwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification Dynamic constrained multiobjective optimization evolutionary algorithm Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic algorithms Kalman filters Knowledge management Knowledge transfer Manifolds Multiple objective analysis objective subspace Optimization Pareto optimization Social factors Subspaces Time series analysis Vehicle dynamics
ISSN:	2471-285X, 2471-285X
Online-Zugang:	Volltext
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