An enhanced escape algorithm with comprehensive learning and Cauchy–Gaussian mutation for reservoir optimization

Abstract Global optimization of complex, high-dimensional landscapes remains a fundamental challenge in scientific and engineering domains. To mitigate the inherent limitations of premature convergence and diversity loss, this paper proposes CLGMESC, an enhanced variant of the Escape Algorithm (ESC)...

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Detalhes bibliográficos

Principais autores:	Hongkui Chen, Xiaomin Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
Colecção:	Scientific Reports
Assuntos:	Escape algorithm Global optimization Metaheuristic Comprehensive learning Cauchy-Gaussian mutation Algorithm robustness
Acesso em linha:	https://doi.org/10.1038/s41598-026-46087-8
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