Particle Swarm Optimization Toolbox

Version 1.0.0.0 (745 ko) par Brian Birge
With Trelea, Common, and Clerc types along with ...
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Mise à jour 20 mars 2006

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Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.

This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several papers have been developed using it but it is also in constant development and very easy to hack. Users of MATLAB's Optimization Toolbox should feel right at home but even if you don't use that toolbox this will be easy to figure. Extensive help is included.

Anyone from serious AI researchers to beginning students should get something out of this.

This toolbox is constantly evolving and I welcome suggestions.

Current feature set:
* Trelea, Clerc, and Common Types
* Vectorized and non-vectorized versions, you can investigate thousands of particles at once with the proper cost function.
* custom plotting plug ins
* neural net trainer (requires Matlab's neural net toolbox)
* PDF Particle Swarm Introduction
* Alpha version of change detection, will track dynamic environments
* includes suite of test functions commonly used in the CI/optimization community.

Citation pour cette source

Brian Birge (2025). Particle Swarm Optimization Toolbox (https://fr.mathworks.com/matlabcentral/fileexchange/7506-particle-swarm-optimization-toolbox), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R14SP1
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
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Version Publié le Notes de version
1.0.0.0

Added neural net trainer plugin, some bug fixes, updated graphical routines, the neural net trainer part requires Matlab's Neural Net Toolbox, but everything else is standalone.