This article deeply analyses the development status of search engine retrieve performance measurement in the native and abroad, then a measurement method based user path model was established.
本文分析了国内外搜索引擎检索性能度量的研究状况，提出了一种基于用户路径模型的性能度量方法。
In research of path planning of fruit picking robot the probabilistic roadmap method is adopted to achieve on-line planning with heuristic search arithmetic.
在综合分析路径规划研究的基础上，采用基于概率地图的路径规划方法，运用启发式搜索算法对水果收获机器人机械臂运动路径进行实时规划。
This method USES intermediate nodes' location information to create undirected graph at destination node, and USES Breath-First Search (BFS) algorithm to find another disjoint path.
本文提出的方法在目的端利用获得的中间节点位置信息来生成无向图，再利用广度优先遍历算法BFS计算出另外一条不相交路径。
This paper presents the design and implementation of cross-country path planning for an autonomous land vehicle based on a heuristic search method.
本文介绍了一种使用启发式估值函数进行二次搜索的路径规划方法，设计和实现了自主车的越野路径规划。
The method can improve the efficiency of path planning effectively, and can be applied to reduce the search space of other algorithm of path planning to increase the convergence speed.
该方法可有效提高航路规划效率，缩小其他航路规划算法的搜索空间，加速算法收敛。
Q learning method is used in intelligence planning path with magnets to achieve the shortest path search, obstacle avoidance, task scheduling and so on.
采用Q学习方法进行磁钉路径的智能规划，实现最短路径寻找，同时解决了任务调度及避障等问题。
Based on the characteristic of multi-path frequency selective channel, the algorithm combines rapid table lookup and Lagrange-multiplier method to iteratively search the optimal bit allocation scheme.
算法根据多径信道选择性衰落的特性，结合查表法和拉格朗日乘子的混合迭代搜索法，最优地分配各个子载波的传输比特数。
A disposal flow of task roadmap based on heuristic method was proposed to generate scheduling plan and evaluate the roadmap, and the result of which fed back to the path search phase.
并提出了基于启发式规则的任务路径处理流程，以此产生调度方案，评价路径优劣，反馈给蚂蚁路径搜索阶段。
Then following the existing path-following method for solving BMI problem, an iterative LMI algorithm is proposed to locally search the desired output-feedback gain.
进一步，在问题有解时，通过极小化增益矩阵元素绝对值的和，给出了求解期望低成本输出反馈控制的算法。
Then following the existing path-following method for solving BMI problem, an iterative LMI algorithm is proposed to locally search the desired output-feedback gain.
进一步，在问题有解时，通过极小化增益矩阵元素绝对值的和，给出了求解期望低成本输出反馈控制的算法。
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