局部最优解法 part-prepreerence method
This algorithm easily escapes from local optimal solution, have high searching efficiency, simple structure, convenient use.
这种算法容易跳出局部最优解，搜索效率高，而且结构简单，使用方便。
参考来源 - 遗传算法及其在模糊辨识中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
该算法将局部最优解视为抗原，设计了对应的抗体产生机制。
The given algorithm regarded local optimal solution as antigen, and corresponding antibody generating system was designed.
给出了跳坑策略以跳出局部最优解并且将搜索引向有希望的方向。
A jumping strategy is proposed to jump from local optimal solution and guide the search in promising directions.
标准遗传算法在解决旅行商问题时效率不高，容易陷于局部最优解。
Traditional genetic algorithms have low efficiency and tend to be trapped by local optimizations.
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