An Improved Genetic Algorithm Based on J1 Triangulation and Fized Point Theory

摘要：

An improved genetic algorithm based on J1 triangulation is proposed for multimodal optimization problems. And the fixed point theory is introduced into this improved algorithm. The optimal problems are conversed to fixed point problems. In this paper, several typical functions are used to demonstrate the effectiveness of this algorithm, and the testing results show that the improved genetic algorithm is valid and highly effective.

关键词： optimization genetic algorithm fized point J1 triangulation multimodal

作者: Jingjun Zhang Yanmin Shang Ruizhen Gao Yuzhen Dong

作者单位: Scientific Research Office Hebei University of Engineering Handan,China College of Info & Electric Engineering Hebei University of Engineering Hebei, P.R. China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 138-142

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）