Enhanced kernel search optimizer with sand cat behavior and multi-strategy fusion for economic emission dispatch

Abstract As a new algorithm in recent years, the Kernel Search Optimization (KSO) algorithm employs kernel mapping to tackle optimization challenges, but this approach can lead to accuracy loss when transforming the objective function from lower to higher dimensions. Moreover, the mapping approximat...

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Autors principals:	Ruyi Dong, Yingxin Tang, Ali Asghar Heidari, Zhennao Cai, Huiling Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-11-01
Col·lecció:	Scientific Reports
Matèries:	Kernel search algorithm Chaotic map Sand cat behavior Adaptive t-distribution mutation Metaheuristic optimization Swarm intelligence
Accés en línia:	https://doi.org/10.1038/s41598-025-23072-1
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