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Surrogate Constraints

Author

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  • Fred Glover

    (The University of Texas, Austin, Texas)

Abstract

A surrogate constraint is an inequality implied by the constraints of an integer program, and designed to capture useful information that cannot be extracted from the parent constraints individually but is nevertheless a consequence of their conjunction. The use of such constraints as originally proposed by the author has recently been extended in an important way by Egon Balas and Arthur Geoffion. Motivated to take advantage of information disregarded in previous definitions of surrogate constraint strength, we build upon the results of Balas and Geoffrion to show how to obtain surrogate constraints that are strongest according to more general criteria. We also propose definitions of surrogate constraint strength that further extend the ideas of the author in 1965 by means of “normalizations,” and show how to obtain strongest surrogate constraints by reference to these definitions also.

Suggested Citation

  • Fred Glover, 1968. "Surrogate Constraints," Operations Research, INFORMS, vol. 16(4), pages 741-749, August.
    • Handle: RePEc:inm:oropre:v:16:y:1968:i:4:p:741-749
    DOI: 10.1287/opre.16.4.741
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    Cited by:

    1. van Dam, Wim & Telgen, Jan, 1978. "Some Computational Experiments With A Primal-Dual Surrogate Simplex Algorithm," Econometric Institute Archives 272174, Erasmus University Rotterdam.
    2. Marco Antonio Boschetti & Vittorio Maniezzo, 2022. "Matheuristics: using mathematics for heuristic design," 4OR, Springer, vol. 20(2), pages 173-208, June.

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