基于智能搜索的坦克机动任务规划

在未来高技术局部战争条件下，坦克不得不面临一个动态复杂的战场环境，这就要求坦克能根据战场环境实时地进行任务规划。以单辆坦克在陆地上的自主机动为背景，提出了一种基于智能搜索的坦克机动任务规划方法。在机动任务规划的实施方面，重点描述了两个基本方面：坦克机动环境的评估及坦克机动任务规划的自主实现。构造了一种智能搜索方法，同时应用这种方法提出了实现坦克自主机动的基本思路，并编制应用程序，进行实例检验。结果表明，这种方法科学合理，为坦克机动任务的规划提供了新思路。神经网络评估方法具有普遍意义，能推广应用于坦克其它方面的任务规划。

Mobile Mission Planning for Tanks Based on Intelligent Search

In the future high tech partial combat, tanks will have to act in a dynamic complex environment, which will constantly require changes in the mission planning. In this paper, we present an approach for the mobile mission planning based on the intelligent search in the context of the overland mobile mission planning of one tank. In particular, we concentrate on two essential aspects of mobile mission execution; the assessment of the mobile mission environment , and the execution of mobile mission planning independently, This paper advances the basal method of intelligent search and material realization of mobile mission planning based on intelligent search. An example suggests that the method is scientific and reasonable. The research provides a new idea for mobile mission planning of tanks. Apparently, the evaluation method of neural network can be popularized to other mission planning of tanks.