Research on Float-Coded Genetic Algorithm Based on Wavelet Denoising Mutation

Coding is a difficult subject of research on genetic algorithm (GA). In many codes, float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. Hence, float-coded genetic algorithm (FCGA) based on wavelet denoising mutation (FCGAWM) was proposed in this paper. Decomposing of FC noise was shown with wavelet in theory. FC denoising mutation was implemented in it. The experiment was made in it. The results of the research and the experiment indicated that the theory was credible and the method was feasible in it. FCGAWM is of active significance to extend application space of FCGA.