Improvement of the Solving Performance by the Networking of Particle Swarm Optimization

Tomoyuki SASAKI  Hidehiro NAKANO  Arata MIYAUCHI  Akira TAGUCHI  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A   No.8   pp.1777-1786
Publication Date: 2015/08/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.1777
Type of Manuscript: PAPER
Category: Nonlinear Problems
optimization algorithm,  particle swarm optimization network,  network topology,  

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This paper presents a particle swarm optimization network (PSON) to improve the search capability of PSO. In PSON, multi-PSOs are connected for the purpose of communication. A variety of network topology can be realized by varying the number of connected PSOs of each PSO. The solving performance and convergence speed can be controlled by changing the network topology. Furthermore, high parallelism is can be realized by assigning PSO to single processor. The stability condition analysis and performance of PSON are shown.