Global Optimization Inmatched Field Inversion
نویسنده
چکیده
In recent years several approaches have been proposed for global optimization in matched-eld inversion. Understanding the mechanics of these optimization methods is important in order to construct fast inversion schemes suitable for underwater propagation problems. It is the purpose of this paper to investigate the comparative performances of two global optimization techniques, genetic algorithms and simulated annealing, in underwater inversion problems. Our interest lies in accurate and simultaneously computationally eecient inversion for both environmental and geometrical parameters. The methods are evaluated in terms of their ability to obtain the global minimum, the speed of approaching that, and the variation in the inversion results.
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