Multi-Objective Optimization Differential Evolution Algorithm

version 1.0.0.0 (6.83 KB) by Gilberto Reynoso-Meza
Runs a basic Differential Evolution (DE) algorithm for multi-objective optimization.

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Updated 9 Nov 2012

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This Toolset comprises of the following files:

1) MODEparam.m

Generates the required parameters to run the MODE optimization algorithm.

2) MODE.m

Runs the optimization algorithm. It implements a basic multi-objective optimization algorithm based on Diferential Evolution (DE) algorithm:

"Storn, R., Price, K., 1997. Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11, 341 – 359."

When one objective is optimized, the standard DE runs; if two or more objectives are optimized, the greedy selection step in DE algorithm is performed using a dominance relation.

3) CostFuntion.m

The cost function to optimize.

Cite As

Gilberto Reynoso-Meza (2022). Multi-Objective Optimization Differential Evolution Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/38962-multi-objective-optimization-differential-evolution-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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