PSO Demo

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

이 제출물을 팔로우합니다

% 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.

인용 양식

Rodney Tan (2026). PSO Demo (https://kr.mathworks.com/matlabcentral/fileexchange/79239-pso-demo), MATLAB Central File Exchange. 검색 날짜: .

도움

도움 받은 파일: Particle Swarm Optimization (PSO)

카테고리

Help CenterMATLAB Answers에서 Particle Swarm에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.0.0