Matched field inversion via hybrid simulated annealing-differential evolution algorithm

A hybrid optimization algorithm that combines advantages of two global optimization algorithms (simulated annealing algorithm and differential evolution algorithm) is developed and applied to the problem of determining seabed properties by minimizing the mismatch between measured and modeled acoustic fields, since there are a lot of problems in both of the algorithms. In the proposed hybrid SADE algorithm the population of DE is perturbed by SA, while the parallel property of DE is preserved. The Metropolis algorithm of SA is introduced into DE, which intensifies its ability to escape from local minima. Furthermore, the use of gradient information of DE can improve the search of parameter space more efficiently. Examples based on synthetic data show that the proposed hybrid algorithm works well.