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A Multi-Objective Risk-Based Framework For Mission Capability Planning

Author

Listed:
  • LAM T. BUI

    (School of ITEE, UNSW@ADFA, University of New South Wales, NorthCott Drive, Canberra, ACT, Australia, 2600, Australia)

  • MICHAEL BARLOW

    (School of ITEE, UNSW@ADFA, University of New South Wales, NorthCott Drive, Canberra, ACT, Australia, 2600, Australia)

  • HUSSEIN A. ABBASS

    (School of ITEE, UNSW@ADFA, University of New South Wales, NorthCott Drive, Canberra, ACT, Australia, 2600, Australia)

Abstract

In this paper, we propose a risk-based framework for military capability planning. Within this framework, metaheuristic techniques such as Evolutionary Algorithms are used to deal with multi-objectivity of a class of NP-hard resource investment problems, called The Mission Capability Planning Problem, under the presence of risk factors. This problem inherently has at least two conflicting objectives: minimizing the cost of investment in the resources as well as the makespan of the plans. The framework allows the addition of a risk-based objective to the problem in order to support risk assessment during the planning process. In other words, with this framework, a mechanism of progressive risk assessment is introduced to capability planning.We analyze the performance of the proposed framework under both scenarios: with and without risk. In the case of no risk, the purpose is to study several optimization-related aspects of the framework such as convergence, trade-off analysis, and its sensitivity to the algorithm parameters; while the second case is to demonstrate the ability of the framework in supporting risk assessment and also robustness analysis.

Suggested Citation

  • Lam T. Bui & Michael Barlow & Hussein A. Abbass, 2009. "A Multi-Objective Risk-Based Framework For Mission Capability Planning," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 459-485.
    • Handle: RePEc:wsi:nmncxx:v:05:y:2009:i:02:n:s1793005709001428
    DOI: 10.1142/S1793005709001428
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    Cited by:

    1. Nadia Chaudry & Ingunn Vermedal & Kjetil Fagerholt & Maria Fleischer Fauske & Magnus Stålhane, 2020. "A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations," The Journal of Defense Modeling and Simulation, , vol. 17(4), pages 357-371, October.
    2. Jian Xiong & Rui Wang & Jiang Jiang, 2019. "Weapon Selection and Planning Problems Using MOEA/D with Distance-Based Divided Neighborhoods," Complexity, Hindawi, vol. 2019, pages 1-18, November.

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