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Heuristic algorithms for the inverse mixed integer linear programming problem

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  • Zhaoyang Duan
  • Lizhi Wang

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    File URL: http://hdl.handle.net/10.1007/s10898-010-9637-2
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Global Optimization.

    Volume (Year): 51 (2011)
    Issue (Month): 3 (November)
    Pages: 463-471

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    Handle: RePEc:spr:jglopt:v:51:y:2011:i:3:p:463-471

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    Web page: http://www.springer.com/business/operations+research/journal/10898

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    Related research

    Keywords: Inverse optimization; Mixed integer linear programming; Parallel computing;

    References

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    1. Gabriel R. Bitran & Vijaya Chandru & Dorothy E. Sempolinski & Jeremy F. Shapiro, 1981. "Inverse Optimization: An Application to the Capacitated Plant Location Problem," Management Science, INFORMS, vol. 27(10), pages 1120-1141, October.
    2. Dial, Robert B., 1999. "Minimal-revenue congestion pricing part I: A fast algorithm for the single-origin case," Transportation Research Part B: Methodological, Elsevier, vol. 33(3), pages 189-202, April.
    3. Dial, Robert B., 2000. "Minimal-revenue congestion pricing Part II: An efficient algorithm for the general case," Transportation Research Part B: Methodological, Elsevier, vol. 34(8), pages 645-665, November.
    4. Shimon Awerbuch, 2006. "Portfolio-Based Electricity Generation Planning: Policy Implications For Renewables And Energy Security," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(3), pages 693-710, May.
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    Cited by:
    1. Lizhi Wang, 2013. "Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem," Journal of Global Optimization, Springer, vol. 55(3), pages 491-506, March.
    2. Wu, Di & Aliprantis, Dionysios C., 2013. "Modeling light-duty plug-in electric vehicles for national energy and transportation planning," Energy Policy, Elsevier, vol. 63(C), pages 419-432.

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