DocumentCode :
2326024
Title :
A competitive PSO based on evaluation with priority for finding plural solutions
Author :
Taguchi, Yu ; Kanamori, Yuta ; Nakano, Hidehiro ; Utani, Akihide ; Miyauchi, Arata ; Yamamoto, Hisao
Author_Institution :
Tokyo City Univ., Tokyo, Japan
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we propose a simple competitive PSO for finding plural solutions. In the proposed PSO, particles are divided into groups corresponding to the required number of solutions. Each group simultaneously searches solutions having a priority search region. This region affects to prohibit that different groups search the same solutions. The proposed PSO can effectively find desired plural acceptable solutions with a high accuracy and with a low computation cost, and can easily control combinations of these solutions by adjusting a parameter. Also, the proposed PSO is applied to a problem in wireless sensor networks (WSNs). The simulation results show that obtained results can contribute to prolonging lifetime of WSNs.
Keywords :
particle swarm optimisation; search problems; wireless sensor networks; competitive PSO; computation cost; particle swarm optimization; plural solution; search region; wireless sensor network; Computational modeling; Mathematical model; Optimization; Resource management; Simulation; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586048
Filename :
5586048
Link To Document :
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