A Perturbation-Based Chaotic Particle Swarm Optimization Searching around Multiple Personal Best Solutions

In this paper, we deal with the particle swarm optimization (PSO) which is one of metaheuristic methods for global optimization. In this paper, we propose a PSO method using a chaotic system, where each particle keeps its best solution called the pbest, and it searches around multiple pbests of whic...

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Bibliographic Details
Main Authors: Tomoki Kuwabara, Haruhiko Mineoka, Keiji Tatsumi
Format: Article
Language:English
Published: Taylor & Francis Group 2018-07-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.9746/jcmsi.11.349