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Stochastic Weapon Target Assignment Problem under Uncertainty in Targeting Accuracy

명중률의 불확실성을 고려한 추계학적 무장-표적 할당 문제

  • Lee, Jinho (Department of National Defense Management, Korea Naval Academy) ;
  • Shin, Myoungin (Department of Mathematics, Korea Naval Academy)
  • 이진호 (해군사관학교 국방경영학과) ;
  • 신명인 (해군사관학교 수학과)
  • Received : 2016.03.16
  • Accepted : 2016.05.27
  • Published : 2016.08.31

Abstract

We consider a model that minimizes the total cost incurred by assigning available weapons to existing targets in order to reduce enemy threats, which is called the weapon target assignment problem (WTAP). This study addresses the stochastic versions of WTAP, in which data, such as the probability of destroying a target, are given randomly (i.e., data are identified with certain probability distributions). For each type of random data or parameter, we provide a stochastic optimization model on the basis of the expected value or scenario enumeration. In particular, when the probabilities of destroying targets depending on weapons are stochastic, we present a stochastic programming formulation with a simple recourse. We show that the stochastic model can be transformed into a deterministic equivalent mixed integer programming model under a certain discrete probability distribution of randomness. We solve the stochastic model to obtain an optimal solution via the mixed integer programming model and compare this solution with that of the deterministic model.

Keywords

References

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