关键词: 遗传算法, 小波系数, 阈值, 变异消噪

Abstract: Genetic algorithm is widely used in engineering and optimization fields.The performance of genetic algorithm and extension of its application fields are affected by the limitation of its code.Float code is super to other codes in function and constraint optimization fields.Noise is brought by the code in selection and crossover，its influence to the performance of genetic algorithm is not noticed by researchers.In this paper，the property of the noise in float code is mostly analyzed by it in inherit operation.The mechanism of denoising in float code is researched by it with wavelet thresholding coefficient.Denoising is implemented by mutation.That wavelet theory used in float code genetic algorithm is credible for mutation denoising，the method is feasible，indicated by the results of research and experiment of it.

Key words: genetic algorithm, wavelet coefficient, threshold, mutation denoising