其他方法:模拟退火法(Simulation Annealing) Introduction-基因演算法 1.初始阶段(Initialization)：随机产生设定的初始群体 2.
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fast simulation annealing 快速模拟退火
simulation annealing method 模拟退火法
heredity simulation annealing 遗传模拟退火
simulation annealing arithmetic 模拟退火算法
simulation annealing algorithms 模拟退火算法
fast simulation annealing algorithm 快速模拟退火算法
The simulation experimental shows that the combination k nearest neighbors method based on improved simulated annealing has better classification performance than the one of the combination k nearest neighbors method based on traditional simulation annealing.4.
仿真实验表明,基于改进模拟退火的组合k近邻分类算法较基于模拟退火的组合k近邻分类算法有更好的分类性能。
参考来源 - 基于K近邻集成算法的分类挖掘研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The structure and parameters of the flexible neural tree model are optimized by probabilistic incremental program evolution and simulation annealing, respectively.
柔性神经树模型的结构和参数优化分别由概率增强式程序进化和模拟退火算法完成。
Meanwhile, we use a fast simulation annealing algorithm in the inversion, which can overcome the limitation of the local extremum of objective function, and acquire a global optimum result.
同时，在具体反演中使用快速模拟退火算法，可以克服目标函数局部极值的限制，从而获得全局最优解。
An optimal fitting method of modeling curves is presented based on a simulation annealing technique and a fitting program FITBIVAR of bivariate scatter plot is developed by using this method.
提出了一种基于退火技术来获取优化的拟合模型曲线的方法。基于该方法编制出双变量散点图曲线拟合程序FITBIVAR。
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