基于决策偏好的联合火力打击兵力需求优化方法  

Force Demand Method for Joint Fires Attack Based on Decision-Making Orientated Optimization Analysis

作　　者：潘俊杰[1] 许瑞明[1] 刘双双 PAN Jun-jie;XU Rui-ming;LIU Shuang-shuang(Evaluation and Analysis Center,Academy of Military Science,Beijing 100091;61569 Army Unit of PLA,Beijing 100010,China)

机构地区：[1]军事科学院评估论证研究中心 [2]中国人民解放军61569部队

出　　处：《指挥控制与仿真》2018年第5期18-20,共3页Command Control & Simulation

基　　金：全军军事类研究生资助项目(2016JY554)

摘　　要：针对联合火力打击兵力需求问题,根据作战任务的毁伤要求和资源约束条件,建立了多目标作战资源优化模型,并根据不同作战阶段目标函数偏好不同,用基于模糊偏好的粒子群算法对多目标优化模型求解,在此基础上根据弹药消耗计算联合火力打击兵力需求。该优化模型为联合火力打击兵力规划提供科学的理论依据。To solve the problem of force demand for joint fire attack,Based on the analysis about the damage demand of thejoint task, a multi-objective optimization model was established for the target assignment, and then Decision-MakingOrientated swarm optimization algorithm is proposed based on the decision preference information,according to the weight ofthe objective functions, finally,force demand calculated according to ammunition consumption. The model is efficient and canprovide scientific theoretical basis for the force planning of joint fires attack .

关 键 词：联合火力打击 兵力需求 粒子群算法 多目标优化 模糊偏好 

分 类 号：E072[军事—军队指挥学]