计算机工程与应用Issue(20)：15-19,5.DOI:10.3778/j.issn.1002-8331.1402-0005
GFMRA的浮点数编码消噪变异
Floating point representation denoising mutation on GFMRA
摘要
Abstract
Multiresolution Analysis(MRA)is an important method of constructing wavelet. Generalized Frame Multire-solution Analysis(GFMRA)can construct any orthonormal wavelet based on single mother function. Floating Point Representation(FPR)is superior to other representation in function optimization and restriction optimization. The noise which FPR brings about influences badly the performance of genetic algorithm in genetic operation environment. This paper is dependent on theoretical analysis. It presents Floating Point Repreaentation Genetic Algorithm (FPRGA) based on GFMRA(FPRGAG). FPRGAG is a method of FPR denoising mutation by orthonormal wavelet. The experiments are made on FPRGAG. The results of the theoretical research and the experiments indicate FPRGAG is superior to other used algorithms, in convergence efficiency and precision. The method is reliable in theory, is feasible in technique.关键词
广义框架多分辨率分析(GFMRA)/正交小波/浮点数编码/消噪变异Key words
Generalized Frame Multiresolution Analysis(GFMRA)/orthonormal wavelet/floating point representation/denoising mutation分类
信息技术与安全科学引用本文复制引用
崔明义..GFMRA的浮点数编码消噪变异[J].计算机工程与应用,2014,(20):15-19,5.基金项目
国家自然科学基金（No.61202285）；河南省科技攻关项目（No.132102210138）。 （）
