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Geoacoustic Parameters Inversion Using Parallel Multi-Population Genetic Algorithm  

Oh Taekhwan (한양대학교 지구해양과학과 해양음향 연구실)
Na Jungyul (한양대학교 지구해양과학과 해양음향 연구실)
Lee Seongwook (한양대학교 지구해양과학과 해양음향 연구실)
Kim Seongil (국방과학연구소(진해))
Park Joung-Soo (국방과학연구소(진해))
Publication Information
The Journal of the Acoustical Society of Korea / v.24, no.6, 2005 , pp. 309-316 More about this Journal
Abstract
This paper Presents the geoacoustic inversion with Parallel Multi-Population Genetic Algorithm (PMPGA). This method is the modified form of simple genetic algorithm (SGA), which is devised for complementing the defects of simple genetic algorithm. The light bulb source and vertical line array (VLA) receiver are used for geoacoustic inversion. The results of this study show the geoacoustic Parameters can be estimated by PMPGA and the proposed algorithm is 1.7 times as fast as serial one on an average.
Keywords
Matched field signal Processing; Geoacoustic inversion; PC-Cluster; Parallel Process; Genetic algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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