论文信息 - APPLICATION OF THE GENETIC ALGORITHM TO RESIDUAL STATICS ESTIMATION

APPLICATION OF THE GENETIC ALGORITHM TO RESIDUAL STATICS ESTIMATION

We present an application of a genetics-based optimization algorithm in an attempt to compute residual statics in seismic data processing. Genetic algorithms have a long history, but have only recently been applied to complex optimization problems. In this paper, optimization results are shown for a synthetic data set to test whether the genetic algorithm can obtain the correct qualitative and/or quantitative features.

Kris Vasudevan | William G. Wilson | K. Vasudevan | W. G. Wilson

[1] Gilbert Syswerda,et al. Uniform Crossover in Genetic Algorithms , 1989, ICGA.

[2] Jim Antonisse,et al. A New Interpretation of Schema Notation that Overtums the Binary Encoding Constraint , 1989, ICGA.

[3] Kris Vasudevan,et al. Simulated annealing statics computation using an order-based energy function , 1991 .

[4] Daniel H. Rothman,et al. Nonlinear inversion, statistical mechanics, and residual statics estimation , 1985 .

[5] Eduard Berg. Simple Convergent Genetic Algorithm For Inversion of Multiparameter Data , 1990 .

[6] Jon F. Claerbout,et al. Surface-consistent residual statics estimation by stack-power maximization , 1985 .