Title :
Research on Float-Coded Genetic Algorithm Based on Wavelet Denoising Mutation
Author :
Cui, Mingyi ; Shangguan, Yanli
Author_Institution :
Henan Univ. of Finance & Econ., Zhengzhou
Abstract :
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.
Keywords :
codes; genetic algorithms; wavelet transforms; FC denoising mutation; FC noise decomposition; float-coded genetic algorithm; wavelet denoising mutation; Algorithm design and analysis; Binary codes; Biological cells; Computer science; Convergence; Genetic algorithms; Genetic mutations; Noise reduction; Reflective binary codes; Signal processing algorithms; Denoising Mutation; Float Code; Genetic Algorithm; Wavelet;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.623
