Study on characteristics of genetic algorithms and its application to optimize reloading pattern problem

The operability, overall optimization, generalization and stabilization of genetic algorithms are verified firstly. Pointing at the specific problems of reloading pattern of nuclear reactor core, the analysis has been performed for the affect of the parameters of genetic algorithms, such as the population size, the number of chromosomes, the crossover probability and the mutation probability on the convergence and convergence rate of the solutions. At last, taking the advanced nuclear reactor as the example, the optimum seeking parameters that applied to the calculation of specific reactor core by genetic algorithms are identified.