An Improved Genghis Khan Shark Optimization Algorithm for Solving Optimization Problems

As an innovative metaheuristic algorithm, Genghis Khan Shark Optimization (GKSO) faces challenges, including a tendency towards local optima and poor convergence speed and accuracy. To mitigate these limitations, an improved Genghis Khan shark optimizer (IGKSO) is proposed in this paper. A populatio...

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Principais autores:	Yanjiao Wang, Jiaqi Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-04-01
Colecção:	Biomimetics
Assuntos:	Genghis Khan shark optimizer population partitioning method opposition-based learning novel diversity assessment mechanism parameter adaptation strategy
Acesso em linha:	https://www.mdpi.com/2313-7673/11/4/270
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