混合遗传算法在产生初始种群时引入启发式方法，采用自适应遗传参数和交替使用两种交叉算子；
In the HGA , heuristic algorithm is used to produced initial population , self-adaptive parameter are used in copy operator, crossover operator and mutation operator .
种群并行进化策略、变异率自适应调整、与启发式算法相结合等措施提高了遗传算法收敛到最优解的成功率。
In order to increase the algorithm's capacity of global convergence, some strategies such as adaptive probability of mutation, calculating the degree of similarity, niche technology bas…
种群并行进化策略、变异率自适应调整、与启发式算法相结合等措施提高了遗传算法收敛到最优解的成功率。
In order to increase the algorithm's capacity of global convergence, some strategies such as adaptive probability of mutation, calculating the degree of similarity, niche technology bas…
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