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A comparison of two reference point methods in multiple objective mathematical programming

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  • Buchanan, John
  • Gardiner, Lorraine

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  • Buchanan, John & Gardiner, Lorraine, 2003. "A comparison of two reference point methods in multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 149(1), pages 17-34, August.
  • Handle: RePEc:eee:ejores:v:149:y:2003:i:1:p:17-34
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    References listed on IDEAS

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    1. Buchanan, J. T. & Daellenbach, H. G., 1987. "A comparative evaluation of interactive solution methods for multiple objective decision models," European Journal of Operational Research, Elsevier, vol. 29(3), pages 353-359, June.
    2. Ralph E. Steuer & Joe Silverman & Alan W. Whisman, 1993. "A Combined Tchebycheff/Aspiration Criterion Vector Interactive Multiobjective Programming Procedure," Management Science, INFORMS, vol. 39(10), pages 1255-1260, October.
    3. Downing, C. E. & Ringuest, J. L., 1998. "An experimental evaluation of the efficacy of four multi-objective linear programming algorithms," European Journal of Operational Research, Elsevier, vol. 104(3), pages 549-558, February.
    4. Lai, Young-Jou & Liu, Ting-Yun & Hwang, Ching-Lai, 1994. "TOPSIS for MODM," European Journal of Operational Research, Elsevier, vol. 76(3), pages 486-500, August.
    5. Corner, J. L. & Buchanan, J. T., 1997. "Capturing decision maker preference: Experimental comparison of decision analysis and MCDM techniques," European Journal of Operational Research, Elsevier, vol. 98(1), pages 85-97, April.
    6. Stanley Zionts & Jyrki Wallenius, 1976. "An Interactive Programming Method for Solving the Multiple Criteria Problem," Management Science, INFORMS, vol. 22(6), pages 652-663, February.
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    Cited by:

    1. Refail Kasimbeyli, 2013. "A conic scalarization method in multi-objective optimization," Journal of Global Optimization, Springer, vol. 56(2), pages 279-297, June.
    2. Luque, M. & Marcenaro-Gutiérrez, O.D. & López-Agudo, L.A., 2015. "On the potential balance among compulsory education outcomes through econometric and multiobjective programming analysis," European Journal of Operational Research, Elsevier, vol. 241(2), pages 527-540.
    3. Despotis, Dimitris K. & Koronakos, Gregory & Sotiros, Dimitris, 2016. "The “weak-link” approach to network DEA for two-stage processes," European Journal of Operational Research, Elsevier, vol. 254(2), pages 481-492.
    4. Pinto, F.S. & Figueira, J.R. & Marques, R.C., 2015. "A multi-objective approach with soft constraints for water supply and wastewater coverage improvements," European Journal of Operational Research, Elsevier, vol. 246(2), pages 609-618.
    5. Ustun, Ozden & DemI[dot above]rtas, Ezgi Aktar, 2008. "An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection," Omega, Elsevier, vol. 36(4), pages 509-521, August.
    6. Miettinen, Kaisa & Makela, Marko M. & Kaario, Katja, 2006. "Experiments with classification-based scalarizing functions in interactive multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 175(2), pages 931-947, December.
    7. Hatami-Marbini, Adel & Tavana, Madjid, 2011. "An extension of the Electre I method for group decision-making under a fuzzy environment," Omega, Elsevier, vol. 39(4), pages 373-386, August.
    8. repec:pal:jorsoc:v:60:y:2009:i:4:d:10.1057_palgrave.jors.2602577 is not listed on IDEAS
    9. Miettinen, Kaisa & Makela, Marko M., 2006. "Synchronous approach in interactive multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 170(3), pages 909-922, May.

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