Difference between revisions 15535430 and 16726282 on enwiki

'''RPSO''' stands for '''RIn [[mathematics]], speficically in [[optimization (mathematics)|optimization]], '''repulsive '''P'''particle '''S'''warm '''O'''ptimization.
This is an Algorithm forswarm optimization'''  ('''RPSO''') is a [[Gglobal optimization|Global Optimization]] (GO) of objective functions. B]] [[algorithm]]. It belongings to the class of [[stochastic|stochastic]] [[evolutionary algorithm|evolutionary]] global optimizers, itand is a variant of [[Pparticle swarm optimization|Particle Swarm Optimization]] (PSO). 

There are several different realizations of RPSO. Common to all realizations is the repulsion between particles. This can prevent the [[swarm intelligence|swarm]] beeing trapped in [[local minimum|local minima]], which would cause a premature [[convergence|convergence]] and would lead the optimization algorithm to fail to find the [[global optimum|global optimum]]. 

In RPSO1 the future [[velocity]] <math>\mathbf{v}_{\mathrm{next}}</math> of a particle at position <math>\mathbf{x}</math> with a recent velocity <math>\mathbf{v}</math> is calculated by

:<math>\mathbf{v}_{\mathrm{next}} = \omega \mathbf{v} + a \ \chi_1 \ (-\mathbf{x}+\hat{\mathbf{x}})
                     + b \ \chi_2 \ \omega (-\mathbf{x}+\hat{\mathbf{y}})
                     + c \ \chi_3 \ \omega \ \mathbf{z}</math>

where 
*<math>\chi_1,\ \chi_2,\ \chi_3</math> : random numbers <math>\in [0,\ 1]</math>
*<math>\omega</math> : inertia weight <math>\in [0.01,\ 0.7]</math>
*<math>\hat{\mathbf{x}}</math> : best position of a particle
*<math>\hat{\mathbf{y}}</math> : best position of a randomly chosen other particle from within the swarm
*<math>\mathbf{z}</math> : a random velocity vector
*<math>a,b,c</math> : constants

⏎
⏎
The main difference between PSO and RPSO is the propagation mechanism to determine new positions for a particle in the search space. 
RPSO is capable to find global optima in more complex [[search space|search spaces]]. On the other hand, compared to PSO it may be slower on certain types of optimization problems.
----⏎
⏎
==See Aalso:==

*[[Genetic algorithm]]
*[[Swarm Intelligence|Swarm Iintelligence]]⏎
----

==External Llinks==
*[http://psotoolbox.sourceforge.net Particle Swarm Optimization toolbox] An open source pso toolbox written in Matlab. ([http://sourceforge.net/projects/psotoolbox sourceforge home for the project])
*[http://www.particleswarm.info Particle Swarm Central ]

[[Category:Optimization algorithms]]