CAJ | 학술논문

为了探索提高协同空战攻击决策算法性能的途径，将多子群粒子群优化理论用于求解协同空战攻击决策，利用生命周期粒子群模型（ LCPSO），提出了一种生命周期离散粒子群（ LCDPSO）协同空战攻击决策算法。基于典型空战想定背景，仿真验证了算法的有效性。通过统计实验的方法，分析比较了LCDPSO协同空战攻击决策算法与多种智能决策算法的准确性、可靠性和快速性，研究结果证明LCDPSO协同空战攻击决策算法优良的综合性能。
위료탐색제고협동공전공격결책산법성능적도경，장다자군입자군우화이론용우구해협동공전공격결책，이용생명주기입자군모형（ LCPSO），제출료일충생명주기리산입자군（ LCDPSO）협동공전공격결책산법。기우전형공전상정배경，방진험증료산법적유효성。통과통계실험적방법，분석비교료LCDPSO협동공전공격결책산법여다충지능결책산법적준학성、가고성화쾌속성，연구결과증명LCDPSO협동공전공격결책산법우량적종합성능。
Aimming at increasing the performance of cooperative air combat attack decision making( CACADM) algorithm, multigroup particle swarm optimization theory is applied to CACADM problem. Based on the life?cycle particle swarm optimi?zation ( LCPSO) model, A new life?cycle discrete particle swarm optimization ( LCDPSO) algorithm is present to solve CA?CADM problem. Under typical air combat backgroud, the efficiency of the algorithm is proved. In order to further analyse the performance of LCDPSO algorithm, Some important indexes, such as accuracy, reliability and efficiency, are chosed to com?pare LCDPSO algorithm with the traditional decision making algorithm. The results of comparison show that LCDPSO algo?rithm have better comprehensive performances.