Abstract：GA is an important composing part of integrative global optimal algorithm. The elemental operation of GA includes selection, cross and mutation. Selecting operations are selection of superior individual and elimination of inferior individual from the population. Adoption of different selecting operation has direct effect on progressive process. On the basis of researching for Monte Carlo method and method of optimal individual reservation (Elitist model), the paper introduces push out ideal and proposes integrative selecting operating method which can be inheritable in (every) other generation. It has been proved that integrating selecting operation is superior to conventional Monte Carlo operation by vast amount of theoretical test. In real data applications, adoption of integration optimization for estimating residual statics has achieved satisfied results.
林依华 . 综合全局寻优中遗传算法部分选择操作的研究[J]. 石油地球物理勘探, 2000, 35(5): 641-650.
Lin Yihua. Research on partial selecting operation of genetic algorithm (GA) in integrative global optimization. OGP, 2000, 35(5): 641-650.
