A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization

Abstract To address NP-hard optimization challenges prevalent in engineering applications, meta-heuristic algorithms are highly regarded for their ability to provide high-quality solutions. In this study, a multi-strategy improved horned lizard optimization algorithm (MSHLOA) is proposed to overcome...

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Bibliografische Detailangaben

Hauptverfasser:	Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2025-04-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Horned lizard optimization algorithm Chaos mapping Lens imaging reverse learning Crisscross strategy perturbation Golden-sine factor Engineering optimization problems
Online-Zugang:	https://doi.org/10.1007/s44196-025-00824-5
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