Orthonormal multiwavelet denoising mutation based FPRGA

Encoding is one of difficult problems of research on genetic algorithm (GA). Floating point representation (FPR) is super to other encoding method in function and restriction optimization. But this problem was ignored by researchers how FPR was denoised in running environment of GA for enhancing the...

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Bibliographic Details
Published in2010 International Conference on Mechanic Automation and Control Engineering pp. 6009 - 6012
Main Authors Mingyi Cui, Nan Sun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Biological cells
Denoising Mutation
Encoding
Environmental economics
Finance
Floating point representation
Genetic Algorithm
Genetic algorithms
Genetic engineering
Genetic mutations
Noise reduction
Optimization methods
Orthonormal multiwavelet
Sun
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Summary:Encoding is one of difficult problems of research on genetic algorithm (GA). Floating point representation (FPR) is super to other encoding method in function and restriction optimization. But this problem was ignored by researchers how FPR 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. Based on the above research result, the floating point representation GA (FPRGA) with orthonormal multiwavelet denoising mutation (FGAMDM) was presented by the paper. The experiments were done by it. The result of the research and the experiment indicates that the method is credible in theory, is feasible in technique.
ISBN:9781424477371
1424477379
DOI:10.1109/MACE.2010.5536820