摘要
针对解决空战决策分配问题的已有算法稳定性差、局限于数学描述、没考虑目标威胁评估因素等不足,通过分析战场模型,建立了多目标攻击空战决策的赋权偶图(WBG)模型,该模型是具有二分类的赋权完全偶图模型,使空战决策分配问题转化为求解WBG模型的最优匹配问题。利用蚁群算法对WBG决策模型求解,提出了具体实现算法。数值试验和仿真结果表明,提出的空战决策WBG模型及其蚁群算法实现具备精确有效的决策能力,从而为多目标空战提供了一种有效的决策方法。
A WBG model for air combat decision of multi-target attack and its realization technique by ant colony algorithm are proposed. Aimed at the instability, limitation to mathematical description and no threat evaluation involved in the existing methods, a WBG model of air combat decision is built up by analyzing battlefield model, which is a weighted complete bipartite graph, so that the decision assignment problem is to solve the optimal matching problem of WBG model. Ant colony algorithm is used to solve WBG model, and its realization flow is proposed. Simulation results reveal that the proposed model and algorithm have accurate and effective decision ability, providing an effective method for air combat decision.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第5期861-865,共5页
Systems Engineering and Electronics
关键词
多目标攻击
空战决策
WBG模型
蚁群算法
multi-target attack
air combat decision
weighted bipartite graph
ant colony algorithm
