CAJ | 학술논문

将模拟退火方法引入遗传算法中，对非线形问题进行优化.该算法克服了SGAs的过早收敛的问题，并解决了染色体多样性的要求.最后将该算法应用于解决水资源优化分配的问题中，优化结果同样具备上述特点.
장모의퇴화방법인입유전산법중，대비선형문제진행우화.해산법극복료SGAs적과조수렴적문제，병해결료염색체다양성적요구.최후장해산법응용우해결수자원우화분배적문제중，우화결과동양구비상술특점.
Simulated Annealing which was used to solve, the problems of variety of optimization was introduced in the process of genetic algorithm in this paper, the problems of variety of optimization. This algorithm can solve the problem of premature convergence of the process and can meet the requirement of diversity in the population of chromosomes. At last, the algorithm was applied in solving the optimization problem of water supplying and water distribution. The result of the experiment also demonstrates the features of the statements.