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Universal Alignment Probabilities and Subset Selection for Ordinal Optimization

Author

Listed:
  • T. W. Edward Lau

    (Harvard University)

  • Y. C. Ho

    (Harvard University)

Abstract

We examine in this paper the subset selection procedure in the context of ordinal optimization introduced in Ref. 1. Major concepts including goal softening, selection subset, alignment probability, and ordered performance curve are formally introduced. A two-parameter model is devised to calculate alignment probabilities for a wide range of cases using two different selection rules: blind pick and horse race. Our major result includes the suggestion of quantifiable subset selection sizes which are universally applicable to many simulation and modeling problems, as demonstrated by the examples in this paper.

Suggested Citation

  • T. W. Edward Lau & Y. C. Ho, 1997. "Universal Alignment Probabilities and Subset Selection for Ordinal Optimization," Journal of Optimization Theory and Applications, Springer, vol. 93(3), pages 455-489, June.
  • Handle: RePEc:spr:joptap:v:93:y:1997:i:3:d:10.1023_a:1022614327007
    DOI: 10.1023/A:1022614327007
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    Cited by:

    1. S.-C. Horng & S.-Y. Lin, 2009. "Ordinal Optimization of G/G/1/K Polling Systems with k-Limited Service Discipline," Journal of Optimization Theory and Applications, Springer, vol. 140(2), pages 213-231, February.
    2. S.Y. Lin & Y.C. Ho, 2002. "Universal Alignment Probability Revisited," Journal of Optimization Theory and Applications, Springer, vol. 113(2), pages 399-407, May.
    3. Vladimir I. Norkin & Yuri M. Ermoliev & Andrzej RuszczyƄski, 1998. "On Optimal Allocation of Indivisibles Under Uncertainty," Operations Research, INFORMS, vol. 46(3), pages 381-395, June.
    4. M.S. Yang & L.H. Lee, 2002. "Ordinal Optimization with Subset Selection Rule," Journal of Optimization Theory and Applications, Springer, vol. 113(3), pages 597-620, June.
    5. Junjie Jia & Nan Yang & Chao Xing & Haoze Chen & Songkai Liu & Yuehua Huang & Binxin Zhu, 2019. "An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving," Energies, MDPI, vol. 12(23), pages 1-19, November.
    6. Q. C. Zhao & Y. C. Ho & Q. S. Jia, 2005. "Vector Ordinal Optimization," Journal of Optimization Theory and Applications, Springer, vol. 125(2), pages 259-274, May.

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