A modified binary quantum-behaved particle swarm optimization algorithm with bit crossover operator

摘要：

　　Particle swarm optimization algorithm with binary encoding (BQPSO) is an intelligent algorithm which is the binary version of particle swarm optimization (QPSO) and can solve the problem in discrete space.This paper analyzes BQPSO,especially discusses the crossover method of bits in algorithm.The paper proposes that the crossover operation of particles should be crossed from bit to bit randomly in algorithm.And the new bit crossover operator is used in computing the coordinate of the local attractor to increasing the diversity of populations and improves the global searching ability of algorithm,and then a modified BQPSO algorithm is proposed.The proposed new algorithm is tested on several functions and compared with BPSO.The experiment results show the superiority of BQPSO.

关键词： Binary encoding QPSO Bit crossover

作者: Mao Long Xi Jun Sun

作者单位: Wuxi Institute of Technology,Wuxi,China,214121 School of Information Technology Southern Yangtze University,Wuxi,China,214122

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1376-1380

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）