飞行航路规划是一个大范围多目标多约束的三维规划问题。
Air route planning is a three-dimensional planning problem, with wide range, many objects and many constraints.
阐述了一种与地形紧密结合的基于最优控制理论的航路规划方法。
On the basis of optimal control theory, this paper presents a method of route planning which connects with terrain tightly.
针对无人机航路规划问题，研究了一种基于元胞蚂蚁算法的无人机航路规划方法。
It was proposed to use cellular ant algorithm in path planning of Unmanned Aerial Vehicle (UAV).
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。
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.
采用蚁群算法实现了飞机低空突防的航路规划，为航路规划问题提供了新的解决思路。
The path planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the path planning.
针对多架无人机同时攻击同一目标的问题，提出了一种基于冲突消解机制的航路规划算法。
A path planning algorithm based on collision resolution mechanism was proposed for multiple UCAVs attacking the same target at the same time.
文章针对侦察无人机航路规划这一问题，分析了影响航路规划的因素，构建了航路规划的模型。
With the problem of path planning of reconnaissance UAV, its influential factors and model are analyzed.
面向多无人机协同作战的航路设计问题，提出了一种较新颖的多无人机协同航路规划共同进化方法。
To resolve the path design problem for cooperative UAVs, a new co-evolutionary computing based path planning method is proposed.
无约束的航路规划问题，实际上是一个TSP问题，目前还没有求解TSP问题的比较有效的实时算法。
The question of flight path programming is TSP problem, regardless of other constraints. There are no effective real time algorithms of TSP problem at present.
建立最小威胁曲面，将三维航路规划问题分解为两个二维的优化问题，最后使用蚁群算法进行全局航路规划。
Thus, three-dimensional flight path optimization planning can be changed into two-dimensional flight path planning on the surface of minimum risk.
现阶段有关潜艇的航路规划算法研究得较少，且现有的潜艇航路规划算法一般都没有考虑海洋环境因素的影响。
But the submarine route planning algorithms are seldom studied currently furthermore, existing algorithms have not taken the ocean environment factors into consideration.
针对不同强度威胁源构成的飞行环境，提出了一种基于人工势场法和遗传算法相结合的无人机全局航路规划方法。
Based on the artificial potential field and genetic algorithms, a method of flight path planning for UAV in the threat network was proposed.
首先，根据飞行航路规划中导航点属性复杂的特点，扩充导航点的模型，并在此基础上采用导航点链表形式的自由编码。
Firstly, in respect of the complex attribute of navigating point in air route planning, it expands the model of navigating point and adopts free coding with the list of navigating point.
无人机任务规划系统是指根据所要完成的任务、无人机的数量及任务载荷的不同，对各架无人机进行任务分配并通过航路规划技术制定飞行路线。
According to the different mission, loads and number of UAV swarm, mission planning system distributes missions and decides the flight path for them by route planning.
针对数据量庞大、复杂的三维数据场环境下航路规划速度偏低的问题，提出一种基于统一计算设备架构(CUDA)的三维数据场航路规划方法。
Aiming at the low rate of route planning due to huge, complex 3d data, this paper proposes a 3d data field route planning based on Compute Unified Device Architecture (CUDA).
针对数据量庞大、复杂的三维数据场环境下航路规划速度偏低的问题，提出一种基于统一计算设备架构(CUDA)的三维数据场航路规划方法。
Aiming at the low rate of route planning due to huge, complex 3d data, this paper proposes a 3d data field route planning based on Compute Unified Device Architecture (CUDA).
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