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Anti‐ship missile defense for a naval task group

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  • Orhan Karasakal
  • Nur Evin Özdemirel
  • Levent Kandiller

Abstract

In this study, we present a new formulation for the air defense problem of warships in a naval task group and propose a solution method. We define the missile allocation problem (MAP) as the optimal allocation of a set of surface‐to‐air missiles (SAMs) of a naval task group to a set of attacking air targets. MAP is a new treatment of an emerging problem fostered by the rapid increase in the capabilities of anti‐ship missiles (ASMs), the different levels of air defense capabilities of the warships against the ASM threat, and new technology that enables a fully coordinated and collective defense. In addition to allocating SAMs to ASMs, MAP also schedules launching of SAM rounds according to shoot‐look‐shoot engagement policy or its variations, considering multiple SAM systems and ASM types. MAP can be used for air defense planning under a given scenario. As thorough scenario analysis would require repetitive use of MAP, we propose efficient heuristic procedures for solving the problem. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011

Suggested Citation

  • Orhan Karasakal & Nur Evin Özdemirel & Levent Kandiller, 2011. "Anti‐ship missile defense for a naval task group," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(3), pages 304-321, April.
    • Handle: RePEc:wly:navres:v:58:y:2011:i:3:p:304-321
    DOI: 10.1002/nav.20457
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    1. Dhaifalla K. Al‐Mutairi & Richard M. Soland, 2005. "Attrition through a partially coordinated area defense," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(1), pages 74-81, February.
    2. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions - 1," LIDAM Reprints CORE 334, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Samuel Matlin, 1970. "A Review of the Literature on the Missile-Allocation Problem," Operations Research, INFORMS, vol. 18(2), pages 334-373, April.
    4. Martin P. F. M. van Dongen & Joost Kos, 1995. "The analysis of ship air defense: The simulation model SEAROADS," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(2), pages 291-309, March.
    5. Richard M. Soland, 1987. "Optimal Terminal Defense Tactics When Several Sequential Engagements are Possible," Operations Research, INFORMS, vol. 35(4), pages 537-542, August.
    6. Hanif D. Sherali & Youngho Lee & Donald D. Boyer, 1995. "Scheduling target illuminators in naval battle‐group anti‐air warfare," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(5), pages 737-755, August.
    7. Ojeong Kwon & Donghan Kang & Kyungsik Lee & Sungsoo Park, 1999. "Lagrangian relaxation approach to the targeting problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(6), pages 640-653, September.
    8. Rui Almeida & Donald P. Gaver & Patricia A. Jacobs, 1995. "Simple probability models for assessing the value of information in defense against missile attack," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(4), pages 535-547, June.
    9. Stefan A. Burr & James E. Falk & Alan F. Karr, 1985. "Integer Prim-Read Solutions to a Class of Target Defense Problems," Operations Research, INFORMS, vol. 33(4), pages 726-745, August.
    10. Bao U. Nguyen & Peter A. Smith & Du Nguyen, 1997. "An engagement model to optimize defense against a multiple attack assuming perfect kill assessment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(7), pages 687-697, October.
    11. Eitan Wacholder, 1989. "A Neural Network-Based Optimization Algorithm for the Static Weapon-Target Assignment Problem," INFORMS Journal on Computing, INFORMS, vol. 1(4), pages 232-246, November.
    12. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions," LIDAM Reprints CORE 341, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Thomas W. Lucas & John E. McGunnigle, 2003. "When is model complexity too much? Illustrating the benefits of simple models with Hughes' salvo equations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 197-217, April.
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    Cited by:

    1. Ahmet Silav & Esra Karasakal & Orhan Karasakal, 2022. "Bi-objective dynamic weapon-target assignment problem with stability measure," Annals of Operations Research, Springer, vol. 311(2), pages 1229-1247, April.

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