【摘要】：針對不確定環(huán)境下的目標分配問題,本文建立了相應的評估及分配模型。構建空戰(zhàn)態(tài)勢評估指標體系,并用區(qū)間層次分析法(interval analytic hierarchy process,IAHP)和模糊優(yōu)選法確定指標的主客觀權重。然后建立相應的不確定環(huán)境下多目標優(yōu)化攻擊效能評估模型,將協(xié)同多目標攻擊決策問題轉化為導彈攻擊配對優(yōu)化問題。進一步提出一種基于區(qū)間灰數的模擬退火遺傳算法(interval grey number-simulated annealing genetic algorithm,ISAGA)用于該決策問題的求解,設計了選擇操作和相應的模擬退火機制,有效防止算法陷入局部最優(yōu)。最后根據尋優(yōu)所得的解確定合理的攻擊方案。仿真結果表明:所提出的算法可以勝任不確定環(huán)境下目標分配問題的評估和尋優(yōu),并且在10步以內能夠找到比較好的解,這在一定程度上是對傳統(tǒng)的目標分配問題的完善。
[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.
【作者單位】： 南京航空航天大學自動化學院;南京航空航天大學經濟與管理學院;
【基金】：國家自然科學基金項目(71471084,61304223) 南京航空航天大學研究生開放基金項目(kfjj20150320,kfjj20150323,kfjj20160318)
【分類號】：E91;TP18
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本文編號：2231760