摘要
针对多架无人机相互协作攻击多个敌对目标的武器目标分配决策问题进行了研究。利用层次分析法(AHP)和灰色关联分析法评估了威胁指标的权重,针对协同攻击空战模型中受威胁大的无人机无需参与攻击,而采用机动躲避策略的特定情况提出了一种启发式遗传模拟退火(HGASA)求解算法,实现了武器目标攻击决策的求解。仿真实验表明,提出的HGASA算法对决策方案的求解速度和求解质量与现有的遗传算法(GA)、模拟退火算法(SA)等算法相比均有明显提高。
The target assignment decision-making problem for Cooperative Attack on Multiple Targets （CAMT） was investi- gated in this paper. Analytical Hierarchy Process （AHP） and Grey Association Method were applied to evaluate the weight values of index for the threats. There is a specific situation that when some unmanned aerial vehicles （UAVs） were threatened seriously, these UAVs needn＇t to be assigned to attack the hostile targets. According to this special circumstance, a heuristic genetic simulated annealing algorithm（HGASA） was proposed to the CAMT problem. Simulation results showed that the algo- rithm HGASA proposed in this paper for solving the speed and quality of solutions were significantly increased compared to the existing genetic algorithm （ GA）, simulated annealing （ SA）, genetic simulated annealing algorithm （ GASA）, ant colony algorithm （ACO）.
出处
《指挥控制与仿真》
2014年第2期9-13,共5页
Command Control & Simulation
基金
航空科学基金(2012ZC52042)
