An effective method for global optimization – Improved slime mould algorithm combine multiple strategies

An effective method for global optimization – Improved slime mould algorithm combine multiple strategies

The stochastic search algorithms are an important optimization technique used to solve complex global optimization problems. The Slime Mould Algorithm (SMA) is one of stochastic search algorithm inspired by the observed behaviors and morphological changes in the foraging process of slime moulds. SMA...

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Bibliographic Details
Main Authors:	Wenqing Xiong, Donglin Zhu, Rui Li, Yilin Yao, Changjun Zhou, Shi Cheng
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Series:	Egyptian Informatics Journal
Subjects:	Slime mould algorithm Global exploration Elite learning operator Differential mutation Engineering problems optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110866524000057

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