基于粒子群优化算法的坦克火力分配方法  

作　　者：赵烨南 杜伟伟[1,2] 陈铁健 徐蕾 郭慧鑫 

机构地区：[1]北方自动控制技术研究所,山西太原030006 [2]北京理工大学机电学院,北京100081

出　　处：《科技创新与应用》2020年第11期124-126,共3页Technology Innovation and Application

摘　　要：针对未来局部战争中战场态势信息更迭速度很快,指挥者在面临复杂战场环境仍需及时做出合理的火力分配决策的问题,提出适用于坦克火力分配问题的改进粒子群算法。通过采用十进制编码的方式,更新了初始化策略,改进粒子群优化算法来提高其对坦克作战情景的适用性。经过仿真验证,此方法对问题求解具备很好的鲁棒性和时效性,对坦克作战实际情境求解有很好的借鉴意义。In view of the rapid change of battlefield situation information in future local wars,the commander still needs to make a reasonable firepower allocation decision in a complex battlefield environment in time,and proposes an improved particle swarm algorithm suitable for the problem of tank firepower allocation.Using decimal encoding,the initialization strategy was updated,and the particle swarm optimization algorithm was improved to improve its applicability to tank combat scenarios.After simulation verification,this method has good robustness and timeliness for problem solving,and it has a good reference significance for solving the actual situation of tank operations.

关 键 词：坦克分队 火力分配 粒子群算法 

分 类 号：E923[军事—军事装备学]