计算结果与典型算例对比证明：改进后的模拟退火算法能够有效避免局部最优解，方法具有实用性。
Through comparing calculation with typical examples, it shows that the question of local minimization can be avoided effectively using the improved algorithm, so the method has practicability.
为了避免陷入局部最优，对变异算子进行了改进。
Moreover, we improve the mutation to avoid the remaining local optima of GAs.
算法中采用的记忆指导搜索策略重点搜索了各记忆段的局部最优值，避免了全局搜索的盲目性；
The adoption of remembrance-guided search method emphasizes local optimum value in each remembrance segment, which avoids the blindness of global search.
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