Parallel Adaptive Immune Quantum-Behaved Particle Swarm Optimization Algorithm(PAIQPSO)

摘要：

In order to escape from premature convergence and lack good direction in particles the evolutionary process, quantum technology and immunologic mechanism were employed, and an adaptive immune quantum-behaved particle swarm optimization algorithm was provided. Meanwhile, according to larger calculation and longer consumed time, parallel computation technology was introduced into the provided algorithm too. Simulation experiments show that the presented particle algorithm has better performance.

关键词： particle swarm optimization quantum technology immunologic mechanism parallel computation

作者: LIU Jun-Hui LI Na

作者单位: Department of Information Engineering Zhengzhou College of Animal Husbandry Engineering Henan Zhengz Department of Information EngineeringZhengzhou College of Animal Husbandry EngineeringHenan Zhengzho

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 435-438

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）