Title :
A Float Code Genetic Algorithm Based on Orthonormal Multiwavelet Denoising Mutation
Author_Institution :
Sch. of Inf., Henan Univ. of Finance & Econ., Zhengzhou, China
Abstract :
Encoding is one of difficult problem of research on genetic algorithm (GA). Float code (FC) is super to other codes in function and restriction optimization. But it was ignored by researchers how FC was denoised in running environment of GA for enhancing the performance of GA. In this paper, it was proved by the wavelet theory that odd-length and even-length of chromosome encoded could all mutate with wavelet denoising. The float code GA (FCGA) with orthonormal multiwavelet denoising mutation (FGAWDM) was presented by it based on the above result. The experiments were done by it. The result indicates which FGAWDM is superior to FCGA.
Keywords :
codes; genetic algorithms; optimisation; signal denoising; wavelet transforms; even length of chromosome; float code genetic algorithm; function optimization; odd length of chromosome; orthonormal multiwavelet denoising mutation; restriction optimization; wavelet theory; Biological cells; Encoding; Environmental economics; Equations; Filtering theory; Finance; Genetic algorithms; Genetic mutations; Noise reduction; Signal processing algorithms;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.222