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GCMBO

version 2.0.0.1 (337 KB) by Gai-Ge Wang
Improving MBO using Greedy strategy & self-adaptive Crossover operator. There are two versions now.

412 Downloads

Updated 02 Nov 2021

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Improving Monarch Butterfly Optimization (MBO) by using Greedy strategy and self-adaptive Crossover operator. This code demonstrates how GCMBO works for unconstrained optimization (Ackley Function), which can easily be extended to solve various global optimization problems efficiently.
Two versions are provided:
GCMBO_Generation_V2.m is for a fixed number of iterations/generations.
GCMBO_FEs_V2.m is for a fixed number of Function Evaluations (FEs).

Cite As

Gai-Ge Wang (2021). GCMBO (https://www.mathworks.com/matlabcentral/fileexchange/55339-gcmbo), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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