IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v52y2004i3p454-463.html
   My bibliography  Save this article

Shoot-Look-Shoot: A Review and Extension

Author

Listed:
  • Kevin Glazebrook

    (School of Management, University of Edinburgh, Edinburgh EH8 9JY, United Kingdom)

  • Alan Washburn

    (Operations Research Department, Naval Postgraduate School, Monterey, California 93943)

Abstract

We consider the optimal use of information in shooting at a collection of targets, generally with the object of maximizing the average number (or value) of targets killed. The shooting problem is viewed as a Markov decision process, and the modal solution technique is stochastic dynamic programming. Information obtained about target status may or may not be perfect, and there may or may not be constraints on the number of shots. Previous results are reviewed, and some new results are obtained.

Suggested Citation

  • Kevin Glazebrook & Alan Washburn, 2004. "Shoot-Look-Shoot: A Review and Extension," Operations Research, INFORMS, vol. 52(3), pages 454-463, June.
  • Handle: RePEc:inm:oropre:v:52:y:2004:i:3:p:454-463
    DOI: 10.1287/opre.1030.0086
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.1030.0086
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.1030.0086?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hugh Everett, 1963. "Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources," Operations Research, INFORMS, vol. 11(3), pages 399-417, June.
    2. Gad Manor & Moshe Kress, 1997. "Optimality of the greedy shooting strategy in the presence of incomplete damage information," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(7), pages 613-622, October.
    3. Sheldon M. Ross, 1971. "Quality Control under Markovian Deterioration," Management Science, INFORMS, vol. 17(9), pages 587-596, May.
    4. K. D. Glazebrook & N. A. Fay, 1990. "Evaluating Strategies for Markov Decision Processes in Parallel," Mathematics of Operations Research, INFORMS, vol. 15(1), pages 17-32, February.
    5. Timothy C. Barkdoll & Donald P. Gaver & Kevin D. Glazebrook & Patricia A. Jacobs & Sergio Posadas, 2002. "Suppression of enemy air defenses (SEAD) as an information duel," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(8), pages 723-742, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.
    2. K. D. Glazebrook & C. Kirkbride & H. M. Mitchell & D. P. Gaver & P. A. Jacobs, 2007. "Index Policies for Shooting Problems," Operations Research, INFORMS, vol. 55(4), pages 769-781, August.
    3. Lu, Yiping & Chen, Danny Z., 2021. "A new exact algorithm for the Weapon-Target Assignment problem," Omega, Elsevier, vol. 98(C).
    4. Gregory Levitin & Kjell Hausken, 2012. "Resource Distribution in Multiple Attacks with Imperfect Detection of the Attack Outcome," Risk Analysis, John Wiley & Sons, vol. 32(2), pages 304-318, February.
    5. Gregory Levitin & Kjell Hausken, 2010. "Resource Distribution in Multiple Attacks Against a Single Target," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1231-1239, August.
    6. Oğuzkan Akbel & Aykut Kalaycıoğlu, 2024. "A Solution to Dynamic Weapon Assignment Problem Based on Game Theory for Naval Platforms," Games, MDPI, vol. 15(5), pages 1-16, October.
    7. Agnetis, Alessandro & Hermans, Ben & Leus, Roel & Rostami, Salim, 2022. "Time-critical testing and search problems," European Journal of Operational Research, Elsevier, vol. 296(2), pages 440-452.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rolf H. Möhring & Andreas S. Schulz & Frederik Stork & Marc Uetz, 2003. "Solving Project Scheduling Problems by Minimum Cut Computations," Management Science, INFORMS, vol. 49(3), pages 330-350, March.
    2. Wooseung Jang & J. George Shanthikumar, 2002. "Stochastic allocation of inspection capacity to competitive processes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(1), pages 78-94, February.
    3. Mustafa Doğru & A. Kok & G. Houtum, 2013. "Newsvendor characterizations for one-warehouse multi-retailer inventory systems with discrete demand under the balance assumption," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(3), pages 541-559, September.
    4. D. Babusiaux, 1988. "Financing investment and calculations of profitability [Financement des investissements et calculs de rentabilité]," Working Papers hal-01534450, HAL.
    5. Chiel van Oosterom & Lisa M. Maillart & Jeffrey P. Kharoufeh, 2017. "Optimal maintenance policies for a safety‐critical system and its deteriorating sensor," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 399-417, August.
    6. Koushik Ramakrishna & Moosa Sharafali & Yun Lim, 2015. "A two-item two-warehouse periodic review inventory model with transshipment," Annals of Operations Research, Springer, vol. 233(1), pages 365-381, October.
    7. Thanh Luong & Frederic H. Murphy & Reginald Sanders & Susan H. Holte & Peter Whitman, 1998. "Modeling the Impacts of the 1990 Clean Air Act Amendments," Interfaces, INFORMS, vol. 28(2), pages 1-15, April.
    8. Gebbran, Daniel & Mhanna, Sleiman & Ma, Yiju & Chapman, Archie C. & Verbič, Gregor, 2021. "Fair coordination of distributed energy resources with Volt-Var control and PV curtailment," Applied Energy, Elsevier, vol. 286(C).
    9. Kampitsis, Dimitris & Panagiotidou, Sofia, 2022. "A Bayesian condition-based maintenance and monitoring policy with variable sampling intervals," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    10. Richárd Molnár-Szipai & Anita Varga, 2019. "Integrating combinatorial algorithms into a linear programming solver," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 475-482, June.
    11. Hao Zhang, 2010. "Partially Observable Markov Decision Processes: A Geometric Technique and Analysis," Operations Research, INFORMS, vol. 58(1), pages 214-228, February.
    12. Chernonog, Tatyana & Avinadav, Tal, 2016. "A two-state partially observable Markov decision process with three actionsAuthor-Name: Ben-Zvi, Tal," European Journal of Operational Research, Elsevier, vol. 254(3), pages 957-967.
    13. Steiner, Erich & McKinnon, Ken, 2000. "Dynamic programming using the Fritz-John conditions," European Journal of Operational Research, Elsevier, vol. 123(1), pages 145-153, May.
    14. Daniel Adelman & Adam J. Mersereau, 2008. "Relaxations of Weakly Coupled Stochastic Dynamic Programs," Operations Research, INFORMS, vol. 56(3), pages 712-727, June.
    15. 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.
    16. Saghafian, Soroush, 2018. "Ambiguous partially observable Markov decision processes: Structural results and applications," Journal of Economic Theory, Elsevier, vol. 178(C), pages 1-35.
    17. Zhang, Zijun & Kusiak, Andrew & Zeng, Yaohui & Wei, Xiupeng, 2016. "Modeling and optimization of a wastewater pumping system with data-mining methods," Applied Energy, Elsevier, vol. 164(C), pages 303-311.
    18. Kuo, Yarlin, 2006. "Optimal adaptive control policy for joint machine maintenance and product quality control," European Journal of Operational Research, Elsevier, vol. 171(2), pages 586-597, June.
    19. Moehring, Rolf & Uetz, Marc & Stork, Frederik & Schulz, Andreas S., 2002. "Solving Project Scheduling Problems by Minimum Cut," Working papers 4231-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. C ReVelle & D J Elzinga, 1989. "An Algorithm for Facility Location in a Districted Region," Environment and Planning B, , vol. 16(1), pages 41-50, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:52:y:2004:i:3:p:454-463. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.