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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...
A self-adaptive mutation-particle swarm optimization algorithm is proposed in this paper. In this algorithm, firstly, to avoid the randomness of updating particle velocity, a modified velocity updating formula of the particle which varies with convergence factor and the diffusion factor is proposed by adaptive inertia weight. Secondly, the introduction of stochastic mutation operators enhances the...
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