Hybrid particle swarm optimization algorithm and its application

Inverse problem plays an important role in seismic exploration. Much effort has been devoted over the past several decades to develop and improve the seismic inverse methods. Traditional linear inversion methods like Newton method and Newton-like methods may not be optimal convergent if a good initial estimate cannot be provided. In this paper, an effective immune-based particle swarm optimization (IPSO) is proposed for solving seismic inverse problem. The proposed IPSO improves the ability to find the globally excellent result and the convergence speed which introduces update and mutation operators and the population recombination mechanism. Numerical simulation and comparisons with other methods demonstrate the effectiveness and robustness of the proposed algorithm. The practical results show that the proposed algorithm is fit for seismic inverse problem.