Fuzzy Quantum-Behaved Particle Swarm Optimization Algorithm

摘要：

Aiming at the drawback of being easily trapped into the local optima and premature convergence in quantum-behaved particle swarm optimization algorithm, fuzzy quantum-behaved particle swarm optimization algorithm was proposed. In fuzzy quantum-behaved particle swarm optimization algorithm, the center of potential of particle was influenced by more than two particles in the neighborhood and the influence was defined as fuzzy variable that is computed by Gaussian distribution. The simulation results of testing four standard benchmark functions demonstrate that fuzzy quantumbehaved particle swarm optimization algorithm has best optimization performance and robustness, the validity and feasibility of the method are verified.

关键词： quantum-behaved particle swarm optimization algorithm fuzzy variable Gaussian distribution

作者: Wei Zhao Ye San Huishu Shi

作者单位: Control and Simulation Center Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2010 International Symposium on Computational Intelligence and Edsign(第三届计算智能与设计国际学术研讨会 ISCID 2010)

会议地点: 杭州

会议语种:英文

页码: 49-52

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）