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On Optimum Target Assignments

Author

Listed:
  • G. G. denBroeder

    (Lockheed Missile and Space Division, Palo Alto, California)

  • R. E. Ellison

    (Lockheed Missile and Space Division, Palo Alto, California)

  • L. Emerling

    (Lockheed Missile and Space Division, Palo Alto, California)

Abstract

This note is concerned with two target assignment models. An optimum assignment is one which maximizes the expected value of targets destroyed. The first model, which admits an explicit solution, associates values only with the number of targets destroyed. An algorithm which enjoys a computational nicety is established when the values of the individual targets are assumed known. This latter model is a special case of Flood's target-assignment model.

Suggested Citation

  • G. G. denBroeder & R. E. Ellison & L. Emerling, 1959. "On Optimum Target Assignments," Operations Research, INFORMS, vol. 7(3), pages 322-326, June.
    • Handle: RePEc:inm:oropre:v:7:y:1959:i:3:p:322-326
    DOI: 10.1287/opre.7.3.322
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    Cited by:

    1. Alexander G. Kline & Darryl K. Ahner & Brian J. Lunday, 2019. "Real-time heuristic algorithms for the static weapon target assignment problem," Journal of Heuristics, Springer, vol. 25(3), pages 377-397, June.
    2. Alexandre Colaers Andersen & Konstantin Pavlikov & Túlio A. M. Toffolo, 2022. "Weapon-target assignment problem: exact and approximate solution algorithms," Annals of Operations Research, Springer, vol. 312(2), pages 581-606, May.
    3. Hughes, Michael S. & Lunday, Brian J., 2022. "The Weapon Target Assignment Problem: Rational Inference of Adversary Target Utility Valuations from Observed Solutions," Omega, Elsevier, vol. 107(C).
    4. Davis, Michael T. & Robbins, Matthew J. & Lunday, Brian J., 2017. "Approximate dynamic programming for missile defense interceptor fire control," European Journal of Operational Research, Elsevier, vol. 259(3), pages 873-886.
    5. Juan Li & Bin Xin & Panos M. Pardalos & Jie Chen, 2021. "Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms," Annals of Operations Research, Springer, vol. 296(1), pages 639-666, January.
    6. Alexander G. Kline & Darryl K. Ahner & Brian J. Lunday, 2020. "A heuristic and metaheuristic approach to the static weapon target assignment problem," Journal of Global Optimization, Springer, vol. 78(4), pages 791-812, December.

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