Improved Slime Mould Algorithm Hybridizing Chaotic Maps and Differential Evolution Strategy for Global Optimization

Improved Slime Mould Algorithm Hybridizing Chaotic Maps and Differential Evolution Strategy for Global Optimization

Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the behaviors of slime mould from nature. Due to its effective performance, SMA has shown its competitive performance among other meta-heuristics algorithms and has been used in many mathematical optimization and real...

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Bibliographic Details
Main Authors: Hui Chen, Xiaobo Li, Shaolang Li, Yuxin Zhao, Junwei Dong
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Slime mould algorithm
differential evolution
chaotic maps
function optimization
engineering design problem
Online Access:https://ieeexplore.ieee.org/document/9797686/

Internet

https://ieeexplore.ieee.org/document/9797686/

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