A NOVEL MULTI-SUBPOPULATION QUANTUM GENETIC ALGORITHM

摘要：

A mufti-subpopulation quantum genetic algorithm based on attractors is proposed to cope with the drawback of genetic algorithms. The one point of MQGA is that a new chromosome representation called ubit representation. And MQGA views the excellent individuals as attractors and generates local small popula-Lions in the neighbor of them to maintain the diversity of the population. In the course of searching, MQGA constantly shrinks the searching neighbor. Finally, MQGAs efficiency is validated through optimization of some benchmark functions.

关键词： Genetic Algorithm Quantum Function Optimization

作者: XUE-QIN ZHU YING GUI XIAO-HUI GAO

作者单位: Department of Computer Science and Technology, East China Institute of Technology, JiangXi Fuzhou 344000, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3530-3534

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）