Network-structured particle swarm optimizer considering neighborhood relationships

Authors:
Haruna Matsushita;Yoshifumi Nishio
Affiliations:
Department of Electrical and Electronic Engineering, Tokushima University, Tokushima, Japan;Department of Electrical and Electronic Engineering, Tokushima University, Tokushima, Japan
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

Citing 4
Cited 1

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Population structure and particle swarm performance

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The fully informed particle swarm: simpler, maybe better

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Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors

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Abstract

This study proposes a new Network-Structured Particle Swarm Optimizer considering neighborhood relationships (NS-PSO). All particles of NS-PSO are connected to adjacent particles by a neighborhood relation of the 2-dimensional network. The directly connected particles share the information of their own best position. Each particle is updated depending on the neighborhood distance on the network between it and a winner, whose function value is best among all particles. Simulation results show the searching efficiency of NS-PSO.