Intelligent hill climbing algorithm (IHCA) is a new way to solve the kinematic inverse solution.
智能登山法是一种新型的运动学逆解求取方法。
On the basis of this model, a "hill climbing" -search algorithm was put forward to solve negotiation models with multi-attribution based on the traditional game theory field.
在此基础上提出基于对方兴趣点的爬山式搜索算法，彻底解决了传统博弈论多属性谈判模型中计算量大而无法实现的问题。
Iterative TFIDF algorithm belongs to hill-climbing algorithm, it has the common problem of converging to local optimal value and sensitive to initial point.
迭代tfidf算法属于爬山算法，初始值的选取对精度影响较大，算法容易收敛到局部最优值。
By flexibly adjusting grid workload, the algorithm of random multi-start hill climbing is evaluated comprehensively.
灵活调整网格工作负荷，对随机多起点爬山算法进行了全面评估。
To optimize node selections for grid jobs under de-centralized scheduling frameworks, the algorithm of random multi-start hill climbing is proposed.
为优化无中心式调度框架下网格作业的节点选择，提出了随机多起点爬山算法。
Local optimum of the permutation-based chromosomes is defined, and a hill-climbing algorithm is proposed to get the local optimum.
定义了基于排列的染色体的局部极值，并以此为基础构造了求极值的爬山算法。
The software includes video signal sampling and controlling, focusing evaluation function, optimized hill-climbing searching algorithm and step motor driving software.
软件部分主要包括数据采集控制模块、调焦评价函数计算模块、改进的爬山搜索算法实现模块及电机的控制和驱动模块等。
The software includes video signal sampling and controlling, focusing evaluation function, optimized hill-climbing searching algorithm and step motor driving software.
软件部分主要包括数据采集控制模块、调焦评价函数计算模块、改进的爬山搜索算法实现模块及电机的控制和驱动模块等。
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