空军工程大学学报（自然科学版）2017，Vol.18Issue(5)：36-41,6.DOI:10.3969/j.issn.1009-3516.2017.05.007
基于蒙特卡洛树搜索方法的空战机动决策
Air Combat Maneuver Decision Based on MCTS Method
摘要
Abstract
Aimed at both sides' maneuver decision problems in air combat that changes of angle,distance, velocity and altitude dominant function are considered to make maximum air combat superiority expectation as target,the Monte Carlo tree search method is introduced .The search strategy is used by the mini-max search algorithm .Against the confrontation between the two aircraft,the simulation results of air combat situation and advantage change curves show that our fighter is in the dominant position for the most part in the whole process in air combat by using MCTS method .At the same time,the real-time performance of the algorithm is simulated .The results show that the model time of the algorithm computing maneuver ac-tion is located at 50~100 ms range to meet the needs of real-time .关键词
空战/机动决策/空战优势/蒙特卡洛树搜索Key words
air combat/maneuver decision/air combat superiority/MCTS分类
航空航天引用本文复制引用
何旭,景小宁,冯超..基于蒙特卡洛树搜索方法的空战机动决策[J].空军工程大学学报（自然科学版）,2017,18(5):36-41,6.基金项目
国家自然科学基金(71501184) （71501184）
航空科学基金(20155196022) （20155196022）
