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。
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.
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。
By flexibly adjusting grid workload, the algorithm of random multi-start hill climbing is evaluated comprehensively.
自动对焦的过程就是运用爬山搜索算法求取对焦评价函数最大值的过程。
The procedure of auto-focusing is to getting the maximum of the focusing (evaluation) function employing the mountain-climb searching algorithm.
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。
To optimize node selections for grid jobs under de-centralized scheduling frameworks, the algorithm of random multi-start hill climbing is proposed.
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。
Local optimum of the permutation-based chromosomes is defined, and a hill-climbing algorithm is proposed to get the local optimum.
该算法能够减少爬山步数,可提高自动聚焦速度。
The algorithm reduces mountain climbing steps, and enhances auto-focus speed.
针对过去爬山法(MCS)调焦效率低的问题,提出了一种新的大范围自动调焦快速搜索算法。
A novel rapid search strategy with a long focusing range was proposed, which improved the efficiency of mountain climbing servo (MCS).
采用人工神经网或梯度爬山算法均存在对优化函数形式有限制及陷入局部最优等局限性。
The approaches based on ANN or gradient hill climb algorithm have limitations such as the function form and local optimum.
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。
Iterative TFIDF algorithm belongs to hill-climbing algorithm, it has the common problem of converging to local optimal value and sensitive to initial point.
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.
通过改进爬山算法,充分利用爬山过程中的先验知识,提出了随机起点爬山算法。
On the basis of mountain climb servo, the improved random startup position mountain climb servo makes full use of the former mountain climbing information.
通过改进爬山算法,充分利用爬山过程中的先验知识,提出了随机起点爬山算法。
On the basis of mountain climb servo, the improved random startup position mountain climb servo makes full use of the former mountain climbing information.
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