Presentation 2014-03-11
Basic performances of PSO networks
Tomoyuki SASAKI, Hidehiro NAKANO, Arata MIYAUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, systems have been large scale and complicated with the development of technology. Optimization algorithms such as Particle Swarm Optimization(PSO) have attracted attentions as a solution for the optimization problems to the systems. However, as optimization problems have been large scale, the evaluation cost of the objective function has increased. Therefore, reducing the number of evaluations of the objective function has been very important subject. For such a subject, there is a method to parallelize the calculations for the evaluation values to multiple processors, and to reduce the number of evaluations of the objective function in each processor. We pay attention to parallel PSO in which the swarm in PSO is divided into multiple groups, and the groups search solution space in parallel. We then propose PSO networks that the concepts of network structure are applied to the communication between the groups in the parallel PSO and the communication between the particles in each group. In this article, we analyze the solution search performances of the PSO networks.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) particle swarm optimization / network structure PSO / parallel PSO / PSO networks / optimization problems
Paper # NLP2013-180
Date of Issue

Conference Information
Committee NLP
Conference Date 2014/3/3(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Basic performances of PSO networks
Sub Title (in English)
Keyword(1) particle swarm optimization
Keyword(2) network structure PSO
Keyword(3) parallel PSO
Keyword(4) PSO networks
Keyword(5) optimization problems
1st Author's Name Tomoyuki SASAKI
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Arata MIYAUCHI
3rd Author's Affiliation Tokyo City University
Date 2014-03-11
Paper # NLP2013-180
Volume (vol) vol.113
Number (no) 486
Page pp.pp.-
#Pages 6
Date of Issue