The Methodological Research Of Wave Impedances Mixed Inversion Based On Genetic Algorithms

The genetic algorithm is a kind of searching method, which simulates the natural evolution. Because the genetic algorithm is not restricted by the restriction hypothesis of search space and does not require the searching space to be continuous and derivative, thus it is applied to various domains widely. This paper introduced wave impedances and genetic algorithms' research actuality, genetic algorithms' theory elements, and brought forward wave impedances that had been introduced from the genetic algorithms based on discussed algorithm's convergence, expounded wave impedances mixed inversion elements based on genetic algorithms. It brought forward genetic algorithms with binary character string coding, genetic operation is the best optional optimization preserving strategy operation, multipoint crossover and nonsymmetrical mutation based on researching widely the genetic algorithms' characteristics of varied coding modes, selection modes, crossover modes and mutation modes in allusion to genetic algorithms is difficult of multi-parameter coding and genetic operation's realization for wave impedances inversion. This genetic algorithm possessed efficiency and convergence pass through Ackley experiment function. Using it did the mixed inversion of wave impedances. This paper gained correlation conclusion about linear inversion pass through large numbers of test calculates, put emphasis upon the discussion of run parameters' acquired value extent about this algorithm is applied to wave impedance, gained the reference acquired value extent of run parameters. As a whole, the result of wave impedances mixed inversion based on genetic algorithms is more satisfactory than that of linear inversion. Finally, this paper pointed out this algorithm's shortages, and gave a prospect of the next step research of genetic algorithms for the wave impedances mixed inversion.