文献类型：会议论文

英文题名：Research on threshold denoising of FPRGA

作者：Cui MingYi[1];Zhang XinXiang[1];Mi HuiChao[1]

第一作者：崔明义

通讯作者：Cui, MY[1]

机构：[1]Henan Univ Finance & Econ, Dept Comp Sci, 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, Dept Comp Sci, 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：8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing/3rd ACIS International Workshop on Self-Assembling Wireless Networks

会议日期：JUL 30-AUG 01, 2007

会议地点：Qungdao, PEOPLES R CHINA

语种：英文

外文关键词：genetic algorithm; wavelet coefficient; threshold; denoising mutation

摘要：Genetic algorithm (GA) was widely used to engineering and optimization fields. The performance of GA and extension of its application fields were affected by the limitation of its code. Floating point representation (FPR) is super to other codes in function and constraint optimization fields. Noise was brought by the FPR in selection and crossover operation, its influence to the performance of GA was not noticed by researchers. In this paper, the property of the noise in FPR is mostly analyzed in inherit operation. The mechanism of denoising in FPR is researched with wavelet threshold coefficient. Denoising is implemented by mutation. That wavelet theory used in floating point representation genetic algorithm (FPRGA) is credible for reducing noise level, the method is feasible, is indicated by its results of research and experiment.