改进模拟退火遗传算法在协同空战中的应用
发布时间：2018-09-08 21:32
【摘要】：针对不确定环境下的目标分配问题,本文建立了相应的评估及分配模型。构建空战态势评估指标体系,并用区间层次分析法(interval analytic hierarchy process,IAHP)和模糊优选法确定指标的主客观权重。然后建立相应的不确定环境下多目标优化攻击效能评估模型,将协同多目标攻击决策问题转化为导弹攻击配对优化问题。进一步提出一种基于区间灰数的模拟退火遗传算法(interval grey number-simulated annealing genetic algorithm,ISAGA)用于该决策问题的求解,设计了选择操作和相应的模拟退火机制,有效防止算法陷入局部最优。最后根据寻优所得的解确定合理的攻击方案。仿真结果表明:所提出的算法可以胜任不确定环境下目标分配问题的评估和寻优,并且在10步以内能够找到比较好的解,这在一定程度上是对传统的目标分配问题的完善。
[Abstract]:In order to solve the problem of target assignment in uncertain environment, a corresponding evaluation and assignment model is established in this paper. The index system of air combat situation assessment is constructed, and the subjective and objective weight of the index is determined by using interval Analytic hierarchy process (interval analytic hierarchy process,IAHP) and fuzzy optimization method. Then the evaluation model of the effectiveness of multi-objective optimization attack in uncertain environment is established and the cooperative multi-target attack decision problem is transformed into the optimization problem of missile attack pairing. Furthermore, an interval grey number based simulated annealing genetic algorithm (interval grey number-simulated annealing genetic algorithm,ISAGA) is proposed to solve the decision problem. The selection operation and the corresponding simulated annealing mechanism are designed to effectively prevent the algorithm from falling into local optimum. Finally, the reasonable attack scheme is determined according to the solution of the optimization. Simulation results show that the proposed algorithm can be used to evaluate and optimize the target assignment problem in uncertain environment, and can find a better solution within 10 steps, which is to some extent perfect for the traditional target assignment problem.
【作者单位】： 南京航空航天大学自动化学院;南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金项目(71471084,61304223) 南京航空航天大学研究生开放基金项目(kfjj20150320,kfjj20150323,kfjj20160318)
【分类号】：E91;TP18
，
本文编号：2231760
[Abstract]:In order to solve the problem of target assignment in uncertain environment, a corresponding evaluation and assignment model is established in this paper. The index system of air combat situation assessment is constructed, and the subjective and objective weight of the index is determined by using interval Analytic hierarchy process (interval analytic hierarchy process,IAHP) and fuzzy optimization method. Then the evaluation model of the effectiveness of multi-objective optimization attack in uncertain environment is established and the cooperative multi-target attack decision problem is transformed into the optimization problem of missile attack pairing. Furthermore, an interval grey number based simulated annealing genetic algorithm (interval grey number-simulated annealing genetic algorithm,ISAGA) is proposed to solve the decision problem. The selection operation and the corresponding simulated annealing mechanism are designed to effectively prevent the algorithm from falling into local optimum. Finally, the reasonable attack scheme is determined according to the solution of the optimization. Simulation results show that the proposed algorithm can be used to evaluate and optimize the target assignment problem in uncertain environment, and can find a better solution within 10 steps, which is to some extent perfect for the traditional target assignment problem.
【作者单位】： 南京航空航天大学自动化学院;南京航空航天大学经济与管理学院;
【基金】：国家自然科学基金项目(71471084,61304223) 南京航空航天大学研究生开放基金项目(kfjj20150320,kfjj20150323,kfjj20160318)
【分类号】：E91;TP18
，
本文编号：2231760
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