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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
Publication Date: 2015/08/01
Online ISSN: 1745-1337
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.