A threshold denoising based floating point representation genetic algorithm

Genetic algorithm (GA) was widely used to many engineering optimization fields. Encoding is one of difficult issues of GA research. Floating point presentation (FPR) is of the advantage of higher precision and convenience of searching in great space. Noises were generated by the FPR in genetic operation environment. The noises have influence on the performance of GA. In this paper, the properties of the noises were mostly analyzed in inherit operation. A novel floating point representation genetic algorithm was proposed based wavelet threshold denoising mutation. Many experiments were made on it. The results of the research and the experiments indicate which the method is superior to other algorithms, is reliable in theory, and is feasible in technique.