Multi-Objective Optimization Differential Evolution Algorithm

Runs a basic Differential Evolution (DE) algorithm for multi-objective optimization.

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.