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。
The paper tries to find the stability analysis method of dangerousest slope with heredity simulation annealing algorithm and Swedish slipcircle method.
利用遗传模拟退火算法结合瑞典圆弧法，寻找最危险边坡进行稳定分析。
The paper tries to find the stability analysis method of dangerousest slope with heredity simulation annealing algorithm and Swedish slipcircle method.
利用遗传模拟退火算法结合瑞典圆弧法，寻找最危险边坡进行稳定分析。
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