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Approximating the noninferior set in multiobjective linear programming problems


  • Solanki, Rajendra S.
  • Appino, Perry A.
  • Cohon, Jared L.


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  • Solanki, Rajendra S. & Appino, Perry A. & Cohon, Jared L., 1993. "Approximating the noninferior set in multiobjective linear programming problems," European Journal of Operational Research, Elsevier, vol. 68(3), pages 356-373, August.
  • Handle: RePEc:eee:ejores:v:68:y:1993:i:3:p:356-373

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    References listed on IDEAS

    1. Robert McNaughton, 1959. "Scheduling with Deadlines and Loss Functions," Management Science, INFORMS, vol. 6(1), pages 1-12, October.
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    Cited by:

    1. Rennen, G. & van Dam, E.R. & den Hertog, D., 2009. "Enhancement of Sandwich Algorithms for Approximating Higher Dimensional Convex Pareto Sets," Discussion Paper 2009-52, Tilburg University, Center for Economic Research.
    2. Ehrgott, Matthias & Tenfelde-Podehl, Dagmar, 2003. "Computation of ideal and Nadir values and implications for their use in MCDM methods," European Journal of Operational Research, Elsevier, vol. 151(1), pages 119-139, November.
    3. Ehrgott, Matthias & Skriver, Anders J. V., 2003. "Solving biobjective combinatorial max-ordering problems by ranking methods and a two-phases approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 657-664, June.
    4. Özgür Özpeynirci & Murat Köksalan, 2010. "An Exact Algorithm for Finding Extreme Supported Nondominated Points of Multiobjective Mixed Integer Programs," Management Science, INFORMS, vol. 56(12), pages 2302-2315, December.
    5. Skriver, Anders J. V. & Andersen, Kim Allan & Holmberg, Kaj, 2004. "Bicriteria network location (BNL) problems with criteria dependent lengths and minisum objectives," European Journal of Operational Research, Elsevier, vol. 156(3), pages 541-549, August.
    6. Leung, PingSun & Heen, Knut & Bardarson, Hermann, 2001. "Regional economic impacts of fish resources utilization from the Barents Sea: Trade-offs between economic rent, employment and income," European Journal of Operational Research, Elsevier, vol. 133(2), pages 432-446, January.

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