Title :
Network-Structured Particle Swarm Optimizer considering neighborhood relationships
Author :
Matsushita, Haruna ; Nishio, Yoshifumi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
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.
Keywords :
particle swarm optimisation; NS-PSO; neighborhood distance; neighborhood relationships; network-structured particle swarm optimizer; particle swarm optimization; Birds; Computational efficiency; Convergence; Costs; Evolutionary computation; Measurement standards; Network topology; Neural networks; Particle swarm optimization; Robustness;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178815
