Research of Dynamic Parameters Design on Genetic Algorithm

To quickly get the global optimum by genetic algorithm, calculated the average and standard deviation of the adaptabilities of chromosomes of one generation, designed the selection operator and the mutation operator by the average and the standard deviation, dynamically adjusted the probability of selection operator and mutation operator and decreased the blindness of genetic algorithm, increased the multiplicity of chromosomes by multiple-point crossover and repetitiveness check. The test shows that the algorithm offered in the article is feasible and effective.