PSO Demo

版本 1.0.0 (2.4 KB) 作者: Rodney Tan

This script demonstrate the fundamental of Particle Swarm Optimisation (PSO) searching for minimum cost in a 2D sphere function

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更新时间 2020/8/18

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% Written by Rodney Tan (PhD)
% Version 1.00 (Aug 2020)
%
% This script demonstrate the fundamental idea of Particle Swarm Optimisation (PSO)
% searching for minimum cost in a two dimension variables sphere function
%
% This PSO demo allows the user to set the population size, inertia coefficient (w),
% personal acceleration coefficient (c1), global acceleration coefficient (c2),
% inertia damping weight, the number of iteration, search space lower boundary
% and search space upper boundary.
%
% Reference
% Yarpiz (2020). Video Tutorial of Particle Swarm Optimization (PSO) in MATLAB
% (https://www.mathworks.com/matlabcentral/fileexchange/57286-video-tutorial-of-particle swarm-optimization-pso-in-matlab),
% MATLAB Central File Exchange.