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  5. Computational performance of chaos-enhanced accelerated particle swarm optimization with different c

Computational performance of chaos-enhanced accelerated particle swarm optimization with different c

来源 :The 4th International Conference on Dynamics, Vibration and | 被引量 : 0次 | 上传用户：wvf170073269
【摘 要】
：
Recently, the chaotic particle swarm optimization (CPSO) which uses chaotic sequences rather than random numbers in the PSO algorithm is developed.This study ai
【作 者】
：
Zhenjun Liu Dixiong Yang 
【机 构】
：
DepartmentofEngineeringMechanics,DalianUniversityofTechnology,StateKeyLaboratoryofStructuralAnalysis
【出 处】
：
The 4th International Conference on Dynamics, Vibration and
【发表日期】
：
2014年8期
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Recently, the chaotic particle swarm optimization (CPSO) which uses chaotic sequences rather than random numbers in the PSO algorithm is developed.This study aims to investigate the influence of chaotic behavior of different chaotic maps on numerical performance of the chaos-enhanced accelerated PSO (CAPSO), from a new perspective of both the probability distribution property and search speed of chaotic sequences.
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