An Adaptive Chaotic Particle Swarm Optimization

作者：Liu Hongwu^*

来源：2nd ISECS International Colloquium on Computing, Communication, Control and Management (CCCM 2009), China,Hainan,Sanya, 2009-08-08 to 2009-08-09.

DOI：10.1109/cccm.2009.5270407

• ACPSO
• chaos
• particle swarm optimizaiton

This paper proposes a novel optimization algorithm-adaptive chaotic particle swarm optimization (ACPSO). The short-term chaotic search is applied to the best particle in the iteration and an adaptive mechanism is used to control the scale of chaotic turbulence, which can avoid trapping in local optima and improve the searching performance of chaotic particle swarm optimization (CPSO). Simulation results an comparisons with the standard particle swarm optimization (PSO) illustrate the effectiveness of the ACPSO and show that the ACPOS has super ability in balancing the exploration and exploitation.

• 出版日期2009
• 单位南昌航空大学