www.gusucode.com > 几种多目标优化算法集合,包括MOEAD,MOPSO,NNIA,NSGA2等 > MOPSO/CreateEmptyParticle.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % MATLAB Code for % % % % Multi-Objective Particle Swarm Optimization (MOPSO) % % Version 1.0 - Feb. 2011 % % % % According to: % % Carlos A. Coello Coello et al., % % "Handling Multiple Objectives with Particle Swarm Optimization," % % IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, % % pp. 256-279, June 2004. % % % % Developed Using MATLAB R2009b (Version 7.9) % % % % Programmed By: S. Mostapha Kalami Heris % % % % e-Mail: sm.kalami@gmail.com % % kalami@ee.kntu.ac.ir % % % % Homepage: http://www.kalami.ir % % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function particle=CreateEmptyParticle(n) if nargin<1 n=1; end empty_particle.Position=[]; empty_particle.Velocity=[]; empty_particle.Cost=[]; empty_particle.Dominated=false; empty_particle.Best.Position=[]; empty_particle.Best.Cost=[]; empty_particle.GridIndex=[]; empty_particle.GridSubIndex=[]; particle=repmat(empty_particle,n,1); end