Research on Genetic Algorithm of Floating Point Representation Denoising Mutation Based on DTCWT

摘要：

Dual-tree complex wavelet transform (DTCWT) is of better properties than discrete wavelet transform (DWT). The attention of the researches was aroused by the noise and its influence on the performance of algorithm in genetic operation of floating point representation genetic algorithm (FPRGA). In order to eliminate the noise influence on algorithm properties, this paper proposes denoising mutation on floating point representation (FPR) with DTCWT in genetic operation. It presents a FPR denoising mutation genetic algorithm based on DTCWT (FDMGAD). It makes some experiments. The result of the research and the experiments indicates which FDMGAD is superior to other algorithms. The method is reliable in theory, is feasible in technique.

关键词： Dual-Tree Complex Wavelet Floating Point Representation Denoising Mutation Genetic Algorithm

作者: Mingyi Cui CUI WEI

作者单位: Henan University of Finance & Economics, Zhengzhou, Henan, 450002, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2346-2349

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）