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.
实验结果证明，优化后的BP网络可有效地避免收敛于局部最优值，大大地缩短了训练时间。
The results show the optimized BP neural network can effectively avoid converging on local optimum and reduce training time greatly.
实例证明该算法求解加速了收敛过程，提高了搜索效率，在避免陷入局部最优的同时提高了求解精度。
Such an algorithm is verified to accelerate convergence process, enhance searching efficiency and solving precision as well as avoid low efficiency and local optimum.
在遗传算法中引入个体学习机制能够提高算法的性能，避免算法收敛过慢或陷入局部最优。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
改进后的遗传算法通过二次演化能够有效地避免算法中容易陷入局部最优值的缺陷。
Improved Genetic Algorithms can avoid the defect of reaching the part best value easily by the twice evolution.
另外，该算法可有效避免陷入局部最优，也不要求提供初始可行解。
Otherwise, the hybrid algorithm can avoid trapping in local optimum and does not need initial feasible solution.
其实验结果表明，本文提出的方法能够对PET图像病灶区域进行精确的分割，避免陷入局部最优且具有良好的实时性。
The experimental results show that the proposed method can accurately segment PET image lesion area, to avoid falling into local optimum and has a good real-time.
实验结果证明，与传统PSO算法相比，改进算法的寻优效果较好，可在一定程度上避免陷入局部最优。
Experimental results show that the improved algorithm performs better than the traditional PSO and may avoid falling into the local optimum instead.
最后，对变化后的个体加以混沌扰动，避免算法陷入局部最优解，提高局部搜索效率。
At last, it draws into chaotic perturbation operation to do heuristic mutation to accelerate convergence velocity and improve searching capability.
区别于传统捕食搜索算法，新算法采用变化的局部搜索和全局搜索限制，从而避免陷入局部最优和解的退化。
The new PSA USES variable constraints of local search and global search to avo id falling into local optimal solutions and the degeneration of solutions.
区别于传统捕食搜索算法，新算法采用变化的局部搜索和全局搜索限制，从而避免陷入局部最优和解的退化。
The new PSA USES variable constraints of local search and global search to avo id falling into local optimal solutions and the degeneration of solutions.
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