文献类型：会议论文

英文题名：Research on Float Representation Niche Genetic Algorithm

作者：Cui, Mingyi[1]

第一作者：崔明义

通讯作者：Cui, MY[1]

机构：[1]Henan Univ Finance & Econ, Sch Informat, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]corresponding author), Henan Univ Finance & Econ, Sch Informat, Zhengzhou 450002, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：7th World Congress on Intelligent Control and Automation

会议日期：JUN 25-27, 2008

会议地点：Chongqing, PEOPLES R CHINA

语种：英文

外文关键词：Niche; Float Representation; Genetic Algorithm

摘要：Niche had better performance in increasing the population diversity of genetic algorithm (GA), in improving local researching performance of it. So far, research results of relating to niche GA were all on binary representation, there was almost no on float representation genetic algorithm (FRGA). But in improving the performance of GA and extending GA's application, float representation is superior to other representation. This paper presents a float representation niche genetic algorithm (FRNGA). In the paper, the mechanism of FRNGA is researched by it. Dynamic process is analyzed by it on niche emerging and merging and disassociating in genetic operation. The method is explored by it. The results of its research and experiment indicate that the performance of FRNGA is reliable. The method is feasible.