GCMBO
版本 2.0.0.1 (337.4 KB) 作者:
Gai-Ge Wang
Improving MBO using Greedy strategy & self-adaptive Crossover operator. There are two versions now.
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).
引用格式
Gai-Ge Wang (2024). GCMBO (https://www.mathworks.com/matlabcentral/fileexchange/55339-gcmbo), MATLAB Central File Exchange. 检索时间: .
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R2015b
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