A Switchable Multi-Objective Grey Wolf Optimization Algorithm Based on Decomposition

In this paper, a switchable multi-objective grey wolf optimization algorithm based on decomposition (SMOGW/D) is proposed to deal with muti-objective problems. Specifically, an improved solution update method incorporated the original crossover/mutation operations and the Levy flight strategy, which...

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Veröffentlicht in:	2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT) S. 1 - 7
Hauptverfasser:	Yin, Yiqi, Wu, Peishu, Li, Han, Zeng, Nianyin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 09.12.2022
Schlagworte:	Benchmark testing Feature extraction grey wolf optimization algorithm (GWO) MOEA/D Muti-objective problems neighborhood update strategy Planning Reliability engineering Sociology Statistics Switches
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