Mainly about Particle Swarm _Optimization_ (PSO). Particle swarm adaptation has been shown to successfully optimize a wide range of continuous functions. The algorithm, which is based on a metaphor of social interaction, searches a space by adjusting the trajectories of individuals, called 'particles' as they are conceptualized as moving points in multidimensional space, toward the positions of their own previous best performance and the best previous performance of their neighbors.
All about Particle Swarm Optimization
A website about particle swarm optimization and swarm intelligence, including introduction, bibliography, tutorials, links to online papers
Bibliography of Particle swarm optimization
Offers reference lists.
Computelligence - computational intelligence virtual world
A virtual world of Computational Intelligence (CI), which provides a platform for CI researchers to exchange information, a warehouse for CI researchers to share resources.
Darwinian Particle Swarm Optimization
An adaptation of the Particle Swarm Optimization algorithm.
Particle Swarm Central
Mainly information and links to information about Particle Swarm Optimization.
Particle Swarm Optimization Resources
Mathematical analysis of Particle Swarm Optimization. Discrete, fuzzy PSO.
Particle Swarm Optimization Visualization
A simple Java applet which visually demonstrates a particle swarm searching for a maximum value in a 3-D landscape.
The PSO Toolbox : Home page
The PSO TOOLBOX is an open source toolbox available as Matlab (.m) files and Java (.class and .java) classes.
A new book talking about particle swarm optimization by J. Kennedy, R.C. Eberhart, and Y. Shi.
Last update:March 30, 2016 at 5:24:06 UTC