𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An adaptive parameter tuning of particle swarm optimization algorithm

✍ Scribed by Gang Xu


Book ID
119187048
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
659 KB
Volume
219
Category
Article
ISSN
0096-3003

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


The particle swarm optimization algorith
✍ Ioan Cristian Trelea πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 162 KB

The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter selection guidelines are derived. The exploration–exploitation tradeoff is discussed and illustrated. Examples of performance on benchmark functions superior to previously

An evolutionary game based particle swar
✍ Wei-Bing Liu; Xian-Jia Wang πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 455 KB

Particle swarm optimization (PSO) is an evolutionary algorithm used extensively. This paper presented a new particle swarm optimizer based on evolutionary game (EGPSO). We map particles' finding optimal solution in PSO algorithm to players' pursuing maximum utility by choosing strategies in evolutio

Parameter selection and adaptation in Un
✍ K.E. Parsopoulos; M.N. Vrahatis πŸ“‚ Article πŸ“… 2007 πŸ› Elsevier Science 🌐 English βš– 655 KB

The performance of the recently proposed Unified Particle Swarm Optimization method is investigated under different schemes for the determination and adaptation of the unification factor, which is the main parameter of the method, controlling its exploration and exploitation properties. Widely used