Hybrid Gene Expression Programming Algorithm Based on Parallel Taboo Search

摘要：

By the strategy of exerting advantage and avoiding disadvantage respectively, hybrid GEP algorithm includes many advantages, which can effectively improve the efficiency of the algorithm and offers more effective solution to the difficult problems of technology and engineering fields. This paper makes the following contributions: (1) Revises the gene structure of the traditional GEP, and improves its application domains. (2) Proposes Parallel Taboo Search(PTS) algorithm, which is based on traditional Taboo Search. (3)Proposes HybridGEP-PTS algorithm, which combines classic GEP and PTS. (4) Extensive experiments show that the precision of the function model found by the HybridGEP-PTS is improved 4.19％-7.93％ compared with classic methods.

作者: Yuan Rao Gaoshang Mo Changan Yuan Song Deng

作者单位: Institute of Software Guangxi Teachers Education University Nanning,Guangxi, 530001, P.R.C;College o Institute of Software Guangxi Teachers Education University Nanning,Guangxi, 530001, P.R.C College of Computer Nanjing University of Posts and Telecommunications Nanjing, Jiangsu, 210003, P.R

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）