兵工自动化2012，Vol.31Issue(4)：5-10,14,7.DOI:10.3969/j.issn.1006-1576.2012.04.002
基于遗传算法和分层任务网络的战术任务规划方法
Tactical Mission Plan Based on Genetic Algorithms and Hierarchical Task Network
摘要
Abstract
Considering the optimal planning of tactical actions sequences, a tactical mission planning algorithm based on hierarchical task network (HTN) and genetic algorithms (GA) is proposed by integrating the qualitative knowledge and quantitative optimization. The HTN is used to model the tactic procedure knowledge on certain task, and then, GA is applied to optimize the tactic procedure knowledge so that the best tactic can be searched and selected. The sound and complete procedure for HTN_ GA tactic planning are analyzed. The UCAV tactic planning algorithm for suppress enemy air defense (SEAD) based on the proposed HTN_GA is presented. The simulation results demonstrate feasibility of the proposed tactic mission plan algorithm.关键词
无人作战飞机/战术任务规划/分层任务网络/遗传算法Key words
UCAV/ tactical mission plan/ HTN/ GA分类
军事科技引用本文复制引用
钟春梅,赵振宇,余舟毅,陈宗基..基于遗传算法和分层任务网络的战术任务规划方法[J].兵工自动化,2012,31(4):5-10,14,7.基金项目
航空科学基金资助项目(2010ZC13012) （2010ZC13012）
