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Quadratic Pareto Race

  • P. Korhonen
  • G.Y. Yu

This paper presents a dynamic and visual "free search" type of a decision support system - Quadratic Pareto Race, which enables a decision maker (DM) to freely search the efficient frontier of a multiple objective quadratic-linear programming problem by controlling the speed and direction of motion. The values of the objective functions are presented in a numeric form and as bar graphs on a display. The implementation of Quadratic Pareto Race is based on the theoretical foundations developed by Korhonen and Yu (1996). The system is implemented on a microcomputer and illustrated using a numerical example.

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File URL: http://www.iiasa.ac.at/Publications/Documents/IR-97-058.pdf
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File URL: http://www.iiasa.ac.at/Publications/Documents/IR-97-058.ps
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Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir97058.

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Date of creation: Sep 1997
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Handle: RePEc:wop:iasawp:ir97058
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  1. 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.
  2. Karaivanova, Jasmina & Korhonen, Pekka & Narula, Subhash & Wallenius, Jyrki & Vassilev, Vassil, 1995. "A reference direction approach to multiple objective integer linear programming," European Journal of Operational Research, Elsevier, vol. 81(1), pages 176-187, February.
  3. Korhonen, Pekka J. & Laakso, Jukka, 1986. "A visual interactive method for solving the multiple criteria problem," European Journal of Operational Research, Elsevier, vol. 24(2), pages 277-287, February.
  4. Korhonen, Pekka & Soismaa, Margareta, 1988. "A multiple criteria model for pricing alcoholic beverages," European Journal of Operational Research, Elsevier, vol. 37(2), pages 165-175, November.
  5. Korhonen, Pekka & Yu, GuangYuan, 1998. "On computing objective function values in multiple objective quadratic-linear programming," European Journal of Operational Research, Elsevier, vol. 106(1), pages 184-190, April.
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