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An Interactive Approach for Multi-Criterion Optimization, with an Application to the Operation of an Academic Department

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Author Info

  • A. M. Geoffrion

    (University of California, Los Angeles)

  • J. S. Dyer

    (University of California, Los Angeles)

  • A. Feinberg

    (California State University, Northridge)

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    Abstract

    An interactive mathematical programming approach to multi-criterion optimization is developed, and then illustrated by an application to the aggregated operating problem of an academic department.

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    File URL: http://dx.doi.org/10.1287/mnsc.19.4.357
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 19 (1972)
    Issue (Month): 4-Part-1 (December)
    Pages: 357-368

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    Handle: RePEc:inm:ormnsc:v:19:y:1972:i:4-part-1:p:357-368

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    Cited by:
    1. Park, K. Sam & Shin, Dong Eun, 2012. "Interactive multiobjective optimization approach to the input–output design of opening new branches," European Journal of Operational Research, Elsevier, vol. 220(2), pages 530-538.
    2. Mizrahi, Shlomo & Mehrez, Abraham, 2002. "Managing quality in higher education systems via minimal quality requirements: signaling and control," Economics of Education Review, Elsevier, vol. 21(1), pages 53-62, February.
    3. Kalu, Timothy Ch. U., 1999. "An algorithm for systems welfare interactive goal programming modelling," European Journal of Operational Research, Elsevier, vol. 116(3), pages 508-529, August.
    4. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    5. Maciej Nowak & Tadeusz Trzaskalik, 2013. "Interactive procedure for a multiobjective stochastic discrete dynamic problem," Journal of Global Optimization, Springer, vol. 57(2), pages 315-330, October.
    6. Jeong, In-Jun & Kim, Kwang-Jae, 2009. "An interactive desirability function method to multiresponse optimization," European Journal of Operational Research, Elsevier, vol. 195(2), pages 412-426, June.
    7. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    8. Korhonen, Pekka & Yu, GuangYuan, 1997. "A reference direction approach to multiple objective quadratic-linear programming," European Journal of Operational Research, Elsevier, vol. 102(3), pages 601-610, November.
    9. Aksoy, Yasemin & Butler, Timothy W. & Minor, Elliott D., 1996. "Comparative studies in interactive multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 89(2), pages 408-422, March.
    10. Hussein, Mohammad L. & Abd El-Ghaffar, F. S., 1996. "An interactive approach for vector optimization problems," European Journal of Operational Research, Elsevier, vol. 89(1), pages 185-192, February.
    11. Soltanifar, Mehdi & Shahghobadi, Saeid, 2013. "Selecting a benevolent secondary goal model in data envelopment analysis cross-efficiency evaluation by a voting model," Socio-Economic Planning Sciences, Elsevier, vol. 47(1), pages 65-74.
    12. Ballestero, Enrique, 2001. "Stochastic goal programming: A mean-variance approach," European Journal of Operational Research, Elsevier, vol. 131(3), pages 476-481, June.
    13. Takeda, Eiji & Yu, Po-Lung, 1995. "Assessing priority weights from subsets of pairwise comparisons in multiple criteria optimization problems," European Journal of Operational Research, Elsevier, vol. 86(2), pages 315-331, October.
    14. Nowak, Maciej, 2007. "Aspiration level approach in stochastic MCDM problems," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1626-1640, March.

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