针对对地攻击路线规划问题，本文对目前国内外的研究方法进行了分析，给出了各种方法的优点与不足。为解决①传统方法过分依赖于函数连续、可导性，而且计算速度慢的缺陷；②智能方法定量计算的不足与路线规划速度不能满足实时要求的不足。作者提出了遗传算法规划与威胁场分区规划的方法，有效地解决了上面的问题。 Aiming at the problem of land attack route planning, this paper analyzes the current research methods at home and abroad, and gives the advantages and disadvantages of various methods. To solve the problem that the traditional method relies too much on the continuous, flexible and computationally slow functions, the shortcomings of quantitative calculation of intelligent methods and the speed of route planning can not meet the real-time requirements. The author puts forward the method of planning and threading field partitioning of genetic algorithm, and effectively solves the above problems.