Abstract
A matched-filed processing (MFP) with the annealing genetic algorithm is used to invert the geoacoustic parameters by matching acoustic field data with numerical replica field. While considering the MFP as an optimization problem, it is unavoidable that a huge amount of replica field will be needed for matching with the measured field data. Furthermore, due to complicated geoacoustic parameters, the inversion becomes difficult to deal with. The simulated annealing algorithm has the property of better local search ability, while the genetic algorithm might jump over local optimal and have the better ability in global search. By merging simulated annealing algorithm into genetic algorithm, an annealing genetic algorithm is developed for efficiency and accuracy. Several scenarios of ocean model are used as test cases. The geoacoustic parameters are accurately estimated. [Work supported by National Science Council of Republic of China.]
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