关键词: 地震参数反演, 模拟退火遗传算法, 模拟退火算法, 遗传算法, 混合优化

Abstract: Seismic inversion belongs to nonlinear optimum problem.An Improved Simulated Annealing Genetic Algorithm（ISAGA） for seismic parameters inversion by combining Modified Genetic Algorithm（MGA） with Simulated Annealing Algorithm（SAA） is developed.In the proposed method firstly the initial population is selected by filtering and restoring.Secondly the annealing selection mechanism is proposed which the elder population is permitted to compete.The new algorithm provides not only with strong global search capability of GA，but also with strong local search capability of SAA.Thirdly to improve the convergence speed and the diversity of the population the rates of crossover and mutation are modified self-adaptively.The simulation results indicate that the ISAGA can result in fast convergence rate and high optimization precision；moreover it avoids many shortcomings such as initial model sensitivity.The obtained section can well reflect the geology characteristics.

Key words: seismic parameters inversion, simulated annealing genetic algorithm, simulated annealing algorithm, genetic algorithm, hybrid optimization