matlab开发-多目标优化差分进化算法

********************************************************************** Multi-Objective Optimization Differential Evolution Algorithm Tool Set ********************************************************************** ********************************************************************** Beta version Copyright 2006 - 2012 - CPOH Predictive Control and Heuristic Optimization Research Group http://cpoh.upv.es ai2 Institute http://www.ai2.upv.es Universitat Polit�cnica de Val�ncia - Spain. http://www.upv.es ********************************************************************** Author Gilberto Reynoso Meza gilreyme@upv.es http://cpoh.upv.es/en/gilberto-reynoso-meza.html http://www.mathworks.es/matlabcentral/fileexchange/authors/289050 ********************************************************************** For new releases and bug fixing of this Tool Set please visit: http://cpoh.upv.es/en/research/software.html Matlab Central File Exchange ********************************************************************** ********************************************************************** ****************************DESCRIPTION******************************* ********************************************************************** 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