Interval multi-objective grey wolf optimization algorithm based on fuzzy system

PurposeThe interval multi-objective optimization problems (IMOPs) are universal and vital uncertain optimization problems. In this study, an interval multi-objective grey wolf optimization algorithm (GWO) based on fuzzy system is proposed to solve IMOPs effectively.Design/methodology/approachFirst,...

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Veröffentlicht in:	International journal of intelligent computing and cybernetics Jg. 16; H. 4; S. 823 - 846
1. Verfasser:	Lin, Youping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bingley Emerald Publishing Limited 24.10.2023 Emerald Group Publishing Limited
Schlagworte:	Computation Decision making Design optimization Evolutionary algorithms Fuzzy sets Genetic algorithms Global optimization Inference Linguistics Methods Multiple objective analysis Optimization algorithms Performance enhancement Population Robots Search methods Search process Interval multi-objective optimization problems Fuzzy system Grey wolf optimization
ISSN:	1756-378X, 1756-3798
Online-Zugang:	Volltext
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