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A Study on the Allocation and Engagement Scheduling of Air Defense Missiles by Using Mixed Integer Programming
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  • Journal title : Korean Management Science Review
  • Volume 32, Issue 4,  2015, pp.109-133
  • Publisher : The Korean Operations and Management Science Society
  • DOI : 10.7737/KMSR.2015.32.4.109
 Title & Authors
A Study on the Allocation and Engagement Scheduling of Air Defense Missiles by Using Mixed Integer Programming
Lee, Dae Ryeock; Yang, Jaehwan;
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This paper considers the allocation and engagement scheduling of air defense missiles by using MIP (mixed integer programming). Specifically, it focuses on developing a realistic MIP model for a real battle situation where multiple enemy missiles are headed toward valuable defended assets and there exist multiple air defense missiles to counteract the threats. In addition to the conventional objective such as the minimization of surviving target value, the maximization of total intercept altitude is introduced as a new objective. The intercept altitude of incoming missiles is important in order to minimize damages from debris of the intercepted missiles and moreover it can be critical if the enemy warhead contains an atomic or chemical bomb. The concept of so called the time window is used to model the engagement situation and a continuous time is assumed for flying times of the both missiles. Lastly, the model is extended to simulate the situation where the guidance radar, which guides a defense missile to its target, has the maximum guidance capacity. The initial mathematical model developed contains several non-linear constraints and a non-linear objective function. Hence, the linearization of those terms is performed before it is solved by a commercially available software. Then to thoroughly examine the MIP model, the model is empirically evaluated with several test problems. Specifically, the models with different objective functions are compared and several battle scenarios are generated to evaluate performance of the models including the extended one. The results indicate that the new model consistently presents better and more realistic results than the compared models.
Weapon Target Allocation Problem;Missile Allocation Problem;Mixed Integer Programming;Optimization;
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