An Improved Genetic Algorithm Based on Triangulation

摘要：

An improved genetic algorithm based on the hJ1 triangulation is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems converse to solution of fixed point problems. The minimum points can be distinguished by using the Hessian Matrix. The test results of many typical functions indicated that the algorithm is valid and highly effective.

关键词： genetic algorithm fizedpoint tiangulation optimal

作者: Guangyuan Liu Xuedong Li Shuxin Wang Yongqiang Ma

作者单位: Scientific Research Office organization Hebei University of Engineering Handan,Hebei,056038,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 447-451

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）