An effective surrogate model assisted algorithm for multi-objective optimization: application to wind farm layout design

Due to the intricate and diverse nature of industrial systems, traditional optimization algorithms require a significant amount of time to search for the optimal solution throughout the entire design space, making them unsuitable for meeting practical industrial demands. To address this issue, we pr...

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Veröffentlicht in:	Frontiers in energy research Jg. 11
Hauptverfasser:	Chen, Yong, Wang, Li, Huang, Hui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Frontiers Media S.A 14.09.2023
Schlagworte:	adaptive grid multi-objective particle swarm optimization algorithm multi-objective optimization sparse Gaussian process surrogate model wind power engineering
ISSN:	2296-598X, 2296-598X
Online-Zugang:	Volltext
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