Description: L’apparition des algorithmes évolutionistes à fait l’effet d’une bombe dans les domaines de la résolution
de problèmes complexes, et spécialement dans l’optimisation de fonction avec contraintes. L’optimisation
par essaim de particules se présente comme une alternative aux algorithmes génétiques et aux colonies de
fourmis pour l’optimisation de fonctions non-linéaires.
Ce document a pour objet de présenter succinctement l’origine de cette méthode avant d’aborder sa mise
en œ uvre et les réglages de ses paramètres. Platform: |
Size: 105472 |
Author:redami |
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Description: File compressed named PSO, it an matlab algorithme that describe the algorithm of Particle Swarm Optimisation Platform: |
Size: 5120 |
Author:dimassi |
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Description: We de ne ve cooperation mechanisms in Particle Swarm Optimisation,
loosely inspired by some models occurring in nature, and based on two quan-
tities: a help matrix, and a reputation vector. We call these ve mechanisms,
respectively, Reciprocity, Vicinity, Kin, Reputation, and Anybody. It ap-
pears that Kin is better than the rest by a slight margin, but needs more
parameters that have to be tuned (mutation and selection). However, Reci-
procity, with less parameters, shows almost equivalent performance. The
appendix gives some details about fair comparison of success rates, and the
concepts of valued topology and chains of information, which may be worth
further investigation. Platform: |
Size: 613376 |
Author:张燕 |
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Description: PSO based tuning of PID controller. PID controller is tunned by different methods and one of them is PSO. PSO stands for particle swarm optimisation. Platform: |
Size: 27648 |
Author:touqeer
|
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