A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

In optimization and decision-making, multi-objective optimization has emerged as a pivotal challenge. Over the past three decades, the concerted efforts of scholars and practitioners across various disciplines have significantly advanced the study and implementation of Multi-Objective Evolutionary A...

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Veröffentlicht in:	IEEE Access Jg. 13; S. 33455 - 33470
Hauptverfasser:	Wang, Zitong, Pei, Yan, Li, Jianqiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2025 Institute of Electrical and Electronics Engineers (IEEE)
Schlagworte:	Chaos chaotic evolution Evolutionary computation Evolutionary multi-objective optimization Heuristic algorithms Linear programming multi-objective chaotic evolution algorithm multi-objective optimization problem Optimization Search problems search strategy Space exploration
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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