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Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization

Abstract Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological optimization mechanisms and has achieved great results in various complex stochastic optimization problems. Owing to the simulated biological search principle of slime mold, SMA has a unique advantage in...

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Autors principals: Jiaru Yang, Yu Zhang, Ting Jin, Zhenyu Lei, Yuki Todo, Shangce Gao
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2023-08-01
Col·lecció:Scientific Reports
Accés en línia:https://doi.org/10.1038/s41598-023-40080-1
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