One Improved Discrete Particle Swarm Optimization based on Quantum Evolution Concept

摘要：

In order to solve the combinatorial optimization problem effectively, one improved discrete particle swarm optimization based on quantum evolution concept is proposed in the paper. Firstly, The quantum angle is defined and it is restricted in the range from -π/2 to 0. Secondly, a new velocity update is proposed, it can update adaptively and can avoid the local optima. Thirdly, under the thought of quantum evolution, the particle can be transferred from decimal code to binary code, so the algorithm can be used to solve the discrete problem. From the experiment, we can learn that the algorithm can realize global optima effectively.

作者: Li Xuyuan Hualong Xu Zhaogang Cheng

作者单位: Xian Research Inst Of Hi-Tech Hongqing Town, Xian, P.R. China Department of Basic Class, Ordnance Engineering College, Shifiazhuang, P.R. China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 96-100

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）