智能化战机编队指派的战术匹配寻优算法  

Tactics-Matching Optimal Algorithm for Intelligent Aircraft-Formation Assignment

作　　者：孟光磊[1] 郭金龙[1] 刘建波[1] 傅莉[1] 

机构地区：[1]沈阳航空航天大学航空航天工程学院,沈阳110136

出　　处：《火力与指挥控制》2014年第2期21-24,共4页Fire Control & Command Control

基　　金：国家自然科学基金(61074090);辽宁省高等学校优秀人才支持计划基金资助项目(LR2011005)

摘　　要：战机编队指派是空战指挥决策的重要一环,属于多属性决策优化问题。为提高空战指挥的自动化水平,设计了一种智能化战机编队指派的战术匹配寻优算法。首先分析了战机编队空战优势的估算方法;然后提出了战机编队指派的初步匹配方法,该方法通过战术匹配得到满足编队级最小空战优势要求的,能够覆盖最多目标编队的初步指派方案;最后设计了基于自扰动蚁群算法的战机编队指派寻优算法,该算法针对未分配战机寻找能够使己方战术价值总和最大化的战机编队指派方案。对战机编队指派的初步匹配结果和自扰动蚁群算法寻优结果进行合成得到最终的战机编队指派方案。示例验证了该方法能够得到与空战指挥员经验一致的战机编队指派结果,而且具有较好的实时性。Aircraft formation assignment is a key point for air combat command decision making. In order to improve the automation level of air combat decision making, an intelligent tactics-matching optimal algorithm for aircraft formation assignment is proposed in this paper. First, an aircraft-formation combat superiority estimation method is analyzed,Then a preliminary tactics-matching method is designed, which can achieve an initial aircraft-formation-assignment scheme satisfying the minimum formation-level combat superiority and covering the most target formations. Finally, a self-disturbance ant colony algorithm is devised to find the optimal scheme which possesses the maximum sum of tactical value. The final aircraft-formation-assignment scheme can be obtained by synthesizing the initial scheme achieved by preliminary tactics-matching method and the optimal scheme achieved by self- disturbance ant colony algorithm. The examples verify that the gained results are consistent with the experience of aerial combat commanders and satisfy the real-time requirement of air-combat decision making.

关 键 词：多属性决策 寻优算法 编队指派 空战决策 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]