基于模拟退火遗传算法的编队对地攻击火力分配建模与优化  

Modeling and optimization of formation air-to-ground attack fire distribution based on simulated annealing genetic algorithm

作　　者：贺小亮[1,2] 毕义明[2] 

机构地区：[1]国防大学研究生学院,北京100091 [2]第二炮兵工程大学初级指挥学院,陕西西安710025

出　　处：《系统工程与电子技术》2014年第5期900-904,共5页Systems Engineering and Electronics

基　　金：全军军事类研究生项目(2012JY002 646)资助课题

摘　　要：针对编队对地攻击火力分配的特点,围绕效费比最大化目标,以毁伤下界为约束,建立了基于模拟退火遗传算法的编队对地攻击火力分配模型。模型从两个阶段分别实现编队对地攻击的效用最大化和费用最小化。利用遗传算法出色的全局选优能力和模拟退火算法优秀的局部搜索能力,构建了模拟退火混合遗传算法,并将其用于编队对地攻击火力分配求解中。仿真结果表明,该方法能以较快的速度求得最优解,得出的最佳火力分配方案符合作战要求,验证了模型的合理性和算法的可行性。In view of the characteristics of the formation air-to-ground attack fire distribution,the maximi-zation of effectiveness-cost ratio is the goal.Based on the simulated annealing genetic algorithm,the model of formation air-to-ground attack fire distribution is proposed,which is restricted by the lower damage bound. From two stages,the model achieves utility maximization and cost minimization for formation air-to-ground at-tack.genetic algorithm （GA）has excellent search capability macroscopically,while simulated annealing （SA）is good at seeking the best result microcosmically.Through combining their advantages,a new algorithm is con-structed and used to the formation air-to-ground attack fire distribution.Simulation results show that this meth-od could gain the best solution rather quickly,and the fire distribution fits the combat requirements well,which verifies that the model is useful and the algorithm is feasible.

关 键 词：火力分配 模拟退火 遗传算法 编队对地攻击 

分 类 号：E9[军事]