文献类型：会议论文

英文题名：A threshold denoising based floating point representation genetic algorithm

作者：Cui, Mingyi[1]

第一作者：崔明义

通讯作者：Cui, M.

机构：[1] School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450002, China

第一机构：河南财经政法大学计算机与信息工程学院

会议论文集：Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

会议日期：August 12, 2011 - August 14, 2011

会议地点：Harbin, China

语种：英文

外文关键词：Digital arithmetic

摘要：Genetic algorithm (GA) was widely used to many engineering optimization fields. Encoding is one of difficult issues of GA research. Floating point presentation (FPR) is of the advantage of higher precision and convenience of searching in great space. Noises were generated by the FPR in genetic operation environment. The noises have influence on the performance of GA. In this paper, the properties of the noises were mostly analyzed in inherit operation. A novel floating point representation genetic algorithm was proposed based wavelet threshold denoising mutation. Many experiments were made on it. The results of the research and the experiments indicate which the method is superior to other algorithms, is reliable in theory, and is feasible in technique. ? 2011 IEEE.