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《Journal of Anhui University of Technology and Science(Natural Science)》 2007-01
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A novel adaptive sequential niche partice swarm optimization algorithm

PAN Xi-jiao1,ZHANG Jun2(1.Anhui College of Vocational Technology of Communications,Hefei 230051,China;2.Anhui University,Hefei 230039,China)  
This paper proposes a novel adaptive sequential niche particle swarm optimization(ASNPSO) algorithm,which uses multiple sub-swarms to detect optimal solutions sequentially.The hill valley function was used to determine how to change the fitness of a particle in current sub-swarm run.This algorithm has a strong and adaptive searching ability.The experimental results show that the proposed ASNPSO algorithm is efficient in searching for multiple optimal solutions for benchmark test functions without any prior knowledge.
【CateGory Index】: TP301.6
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