Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to solve complex optimization problems. However, these algorithms suffer from the shortcoming that multiple hyperparameters need to be set carefully. Therefore, to solve the problem, the kernel search optimiza...

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Veröffentlicht in:	Knowledge-based systems Jg. 233; S. 107529
Hauptverfasser:	Dong, Ruyi, Chen, Huiling, Heidari, Ali Asghar, Turabieh, Hamza, Mafarja, Majdi, Wang, Shengsheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 05.12.2021
Schlagworte:	Dispatch Economic emission dispatch problem Evolutionary algorithm Global optimization Kernel search algorithm Meta-heuristic algorithm Swarm intelligence Global optimization Meta-heuristic algorithm Evolutionary algorithm Dispatch Swarm intelligence Economic emission dispatch problem Kernel search algorithm
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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