Chaos-Mutation-Based Particle Swarm Optimizer for Dynamic Environment

摘要：

The paper presents a modified Particle SwarmOptimization(PSO)for the dynamic environment.Themodified method provides a detected position for eachparticle,and applies the detected positions of somerandomly sampled particles in the swarm to detect thedynamic change of the environment.If the environmenthas been detected to change,chaos mutationtechnology will be introduced to respond to the changein time.After that,an improved chaos mutation guidedby swarm diversity has been developed to improve theresponding efficiency.The proposed method has beenapplied to the dynamic environment constructed by theparabola function.The simulation results show theimproved PSO can detect changes more accurately andrespond to the changes of the environment morequickly,and has been a robust technique for thedynamic optimization.

作者: Dianmin Dang Jing Jie Jianchao Zeng Meng Wang

作者单位: Division of System Simulation and Computer Application,Taiyuan University of Science and Technology,Taiyuan 030024,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 1032-1037

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）