Abstract

A novel optimization approach is applied to geoacoustic inversion with a towed horizontal array. Particle swarm optimization, a stochastic, population-based evolutionary algorithm, is applied to geoacoustic inversion problems in order to estimate unknown sediment and ocean parameters. Geoacoustic inversions with a towed array are applied to both synthetic data and experimental data from MAPEX 2000. Particle swarm optimization yields quick, consistent parameter estimates. These results will be compared with previously published results using an advanced rotated coordinate simulated annealing technique. [Work supported by ONR.]

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