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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Vydané v:	Knowledge-based systems Ročník 233; s. 107529
Hlavní autori:	Dong, Ruyi, Chen, Huiling, Heidari, Ali Asghar, Turabieh, Hamza, Mafarja, Majdi, Wang, Shengsheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.12.2021
Predmet:	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
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