Multi-Objective Optimization Differential Evolution Algorithm

Versión 1.0.0.0 (6,83 KB) por Gilberto Reynoso-Meza
Runs a basic Differential Evolution (DE) algorithm for multi-objective optimization.
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Actualizado 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.

Citar como

Gilberto Reynoso-Meza (2024). Multi-Objective Optimization Differential Evolution Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/38962-multi-objective-optimization-differential-evolution-algorithm), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2009b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Multiobjective Optimization en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.0.0.0