Particle Swarm Optimization

[xMin,yMin] = pso(fun,np,lb,ub);

Al momento, stai seguendo questo contributo

fun: function handle (y = fun(x), x is column vector)
np: number of particles
lb, ub: lb<x<ub
xMin: yMin = fun(xMin)
yMin: minimum value of the cost function fun
pso finds the global minimum for a constraint function (convex or non-con) with multiple variables.

Cita come

Yan Ou (2026). Particle Swarm Optimization (https://it.mathworks.com/matlabcentral/fileexchange/41708-particle-swarm-optimization), MATLAB Central File Exchange. Recuperato .

Riconoscimenti

Ispirato: Multi-objective RIME Algorithm (MORIME)

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.13.0.0

update

1.12.0.0

update stop criteria

1.11.0.0

add warm start

1.10.0.0

update

1.9.0.0

update pso

1.8.0.0

Add demo file

1.7.0.0

update

1.4.0.0

updated version

1.3.0.0

add screen shot and summary

1.1.0.0

change the summary part to make user immediately understand the usage of function

1.0.0.0