移动用户如何根据网络的通信质量和道路情况选择一条到达目标的最优移动路径，是移动决策问题中的一个重要部分。
For a mobile user, how to select the optimal paths to reach the destination in terms of the network QoS and road condition is an important part of mobile decisive problem.
将多级可拓评价方法应用于移动对象数据库中最优路径的查询系统。
The multilevel extension assessment method is applied to the shortest paths query system in the moving object databases.
提出了一种新的基于移动灯塔最优路径的传感器定位方法。
A novel sensor localization method based on optimized path of a mobile beacon.
针对移动机器人的最速编队问题，结合路径规划和任务分解，提出一种分派问题的新解法和时间最优的编队策略。
A kind of time optimal formation strategy is proposed, which is based on path planning and task decomposition as well as an effective algorithm for assignment problem.
再次，根据移动机器人路径规划问题的特性，设计出一种新的基于竞选算法的移动机器人全局最优路径规划方法。
Thirdly, basing on characteristics of mobile robot path planning, we designs a kind of Election-survey Algorithm to solve global optimal result of mobile robot path planning.
再次，根据移动机器人路径规划问题的特性，设计出一种新的基于竞选算法的移动机器人全局最优路径规划方法。
Thirdly, basing on characteristics of mobile robot path planning, we designs a kind of Election-survey Algorithm to solve global optimal result of mobile robot path planning.
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