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An Empirical Evaluation of the KORBX® Algorithms for Military Airlift Applications

Author

Listed:
  • William J. Carolan

    (HQ MAC/AG, Scott AFB, Illinois)

  • James E. Hill

    (HQ MAC/AG, Scott AFB, Illinois)

  • Jeffery L. Kennington

    (Southern Methodist University, Dallas, Texas)

  • Sandra Niemi

    (HQ MAC/AG, Scott AFB, Illinois)

  • Stephen J. Wichmann

    (HQ MAC/AG, Scott AFB, Illinois)

Abstract

KORBX ® (a registered trademark of AT&T) is AT&T's new system for solving large-scale linear programs. The system consists of both hardware, which uses parallel processing technology configured with 256 MB of memory, and software which exploits the design and resources of this modern hardware. The KORBX linear programming software system contains four algorithms which are variations of the interior point method of Narendra Karmarkar. The primal, dual, primal-dual, and power series algorithms were empirically evaluated on a set of linear programming application models being used by the staff of the Military Airlift Command at Scott Air Force Base. For calibration purposes, a set of smaller test problems were also run using MPSX and XMP; and some pure network problems were solved using NETFLO, MPSX, and XMP.

Suggested Citation

  • William J. Carolan & James E. Hill & Jeffery L. Kennington & Sandra Niemi & Stephen J. Wichmann, 1990. "An Empirical Evaluation of the KORBX® Algorithms for Military Airlift Applications," Operations Research, INFORMS, vol. 38(2), pages 240-248, April.
    • Handle: RePEc:inm:oropre:v:38:y:1990:i:2:p:240-248
    DOI: 10.1287/opre.38.2.240
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    Cited by:

    1. Sophia Voulgaropoulou & Nikolaos Samaras & Nikolaos Ploskas, 2022. "Predicting the Execution Time of the Primal and Dual Simplex Algorithms Using Artificial Neural Networks," Mathematics, MDPI, vol. 10(7), pages 1-21, March.
    2. Robert E. Bixby, 2002. "Solving Real-World Linear Programs: A Decade and More of Progress," Operations Research, INFORMS, vol. 50(1), pages 3-15, February.
    3. Cynthia Barnhart, 1993. "Dual‐ascent methods for large‐scale multicommodity flow problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(3), pages 305-324, April.
    4. Péter Tar & Bálint Stágel & István Maros, 2017. "Parallel search paths for the simplex algorithm," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(4), pages 967-984, December.

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