Slime Mould Algorithm-based mutated Chaotic Local Search

mSMACLS is a new improved version of SMA algorithm for solving global optimization and engineering problems

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mSMACLS algorithm incorporates a novel mutated Chaotic Local Search (mCLS) into the standard SMA. The mCLS strategy acts as a mutation operator to update some dimensions of the global best configuration found by SMA, which leads to improving its exploitation ability without losing its exploration strength. Ten chaotic maps are adopted, resulting in ten different behaviors of mCLS strategy.
This repository contains the source code of mSMACLS

Cite As

adel got (2026). Slime Mould Algorithm-based mutated Chaotic Local Search (https://www.mathworks.com/matlabcentral/fileexchange/182303-slime-mould-algorithm-based-mutated-chaotic-local-search), MATLAB Central File Exchange. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0