A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification

In recent years, dynamic multiobjective optimization problems (DMOPs) have drawn increasing interest. Many dynamic multiobjective evolutionary algorithms (DMOEAs) have been put forward to solve DMOPs mainly by incorporating diversity introduction or prediction approaches with conventional multiobjec...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 3; S. 1602 - 1615
Hauptverfasser:	Liang, Zhengping, Wu, Tiancheng, Ma, Xiaoliang, Zhu, Zexuan, Yang, Shengxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Benchmark testing Classification Convergence Decision variable classification dynamic multiobjective evolutionary algorithm (DMOEA) dynamic multiobjective optimization problem (DMOP) Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic algorithms multiobjective evolutionary algorithm multiobjective optimization problem (MOP) Multiple objective analysis Optimization Sociology Statistics
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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