An improved multi-objective grey wolf optimization algorithm with dynamic chaos local search mechanism

In recently years, the multi-objective grey wolf optimization (MOGWO) has been widely accepted to solve problems in various engineering fields because its less required parameters and excellent optimal performance. However, similar to many intelligent optimization algorithms, the grey wolf optimizat...

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Veröffentlicht in:	2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Jg. 9; S. 2020 - 2024
1. Verfasser:	GU, Wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.12.2020
Schlagworte:	Benchmark testing Chaos chaos local search strategy Conferences dynamic adaptation strategy Heuristic algorithm Heuristic algorithms Information technology multi-objective grey wolf optimization Optimization Search problems
Online-Zugang:	Volltext
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