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

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.