Immune Quantum Evolutionary Algorithm based on Chaotic Searching Technique for Global Optimization

摘要：

A novel immune quantum evolutionary algorithm based on chaotic searching for global optimization(CRIQEA)is proposed.Firstly,by niching methods population is divided into subpopulations automatically.Secondly,by using immune and catastrophe operator each subpopulation can obtain optimal solutions.Because of the quantum evolutionary algorithm with intrinsic parallelism it can maintain quite nicely the population diversity than the classical evolutionary algorithm; because of the immune operator and real representation for the chromosome it can accelerate the convergence speed.The chaotic searching technique for improving the performance of CRIQEA has been described; catastrophe operator based on chaotic dynamic systems is capable of escaping from local optima.Simulation results demonstrate the superiority of CRIQEA in this paper.

作者: Xiaoming You Sheng Liu Xiankun Sun

作者单位: College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 200065,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）