A fitness landscape ruggedness multiobjective differential evolution algorithm with a reinforcement learning strategy

Optimization is the process of finding and comparing feasible solutions and adopting the best one until no better solution can be found. Because solving real-world problems often involves simulations and multiobjective optimization, the results and solutions of these problems are conceptually differ...

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Veröffentlicht in:	Applied soft computing Jg. 96; S. 106693
Hauptverfasser:	Huang, Ying, Li, Wei, Tian, Furong, Meng, Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2020
Schlagworte:	Differential evolution Fitness landscape Multiobjective Reinforcement learning Search strategy Multiobjective Differential evolution Search strategy Fitness landscape Reinforcement learning
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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