DocumentCode
1895987
Title
Hybrid Genetic Algorithm Applied to Wave Directional Spectrum Estimation by Array
Author
Wei, Zheng ; Dianlun, Zhang ; Dajun, Sun
Author_Institution
Underwater Acoust. Eng. Coll., HarBin Eng. Univ., Harbin, China
Volume
1
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
334
Lastpage
338
Abstract
Array estimation of wave directional spectrum needs to measure the same quantity of the different locations, then the cross-spectrum of different locations is calculated, finally wave direction distribution is estimated based on nonlinear equation between cross-spectrum and wave direction distribution. In the paper, a hybrid genetic algorithm is applied to modified MEM algorithm, the algorithm avoids the complicated Bessel function calculation and also eigenvalue and eigenvector calculation. Simulation result shows that the hybrid genetic algorithm has better precision and also high calculation speed.
Keywords
genetic algorithms; ocean waves; oceanographic techniques; array estimation; cross-spectrum; hybrid genetic algorithm; modified MEM algorithm; nonlinear equation; wave directional spectrum estimation; Acoustical engineering; Automation; Frequency estimation; Genetic algorithms; Genetic engineering; Nonlinear equations; Sea measurements; Spectral analysis; Sun; Transfer functions; hybrid genetic algorithm; modified MEM algorithm; nonlinear equation; wave directional spectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.88
Filename
5287642
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