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Optimum Seeking with Branch and Bound

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  • Norman Agin

    (Mathematica)

Abstract

A wide variety of branch and bound algorithms have recently been described in the literature. This paper provides a generalized description of such algorithms. An objective is to demonstrate the wide applicability of branch and bound to combinatorial problems in general. Two existing algorithms are used as illustrations and a discussion of computational efficiency is included.

Suggested Citation

  • Norman Agin, 1966. "Optimum Seeking with Branch and Bound," Management Science, INFORMS, vol. 13(4), pages 176-185, December.
    • Handle: RePEc:inm:ormnsc:v:13:y:1966:i:4:p:b176-b185
    DOI: 10.1287/mnsc.13.4.B176
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    Cited by:

    1. Alexander A. Lazarev & Nikolay Pravdivets & Frank Werner, 2020. "On the Dual and Inverse Problems of Scheduling Jobs to Minimize the Maximum Penalty," Mathematics, MDPI, vol. 8(7), pages 1-15, July.
    2. Etgar, Ran & Gelbard, Roy & Cohen, Yuval, 2017. "Optimizing version release dates of research and development long-term processes," European Journal of Operational Research, Elsevier, vol. 259(2), pages 642-653.
    3. Jouglet, Antoine & Carlier, Jacques, 2011. "Dominance rules in combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 212(3), pages 433-444, August.
    4. Lenstra, J. K. & Rinnooy Kan, A. H. G., 1980. "A Recursive Approach To The Implementation Of Enumerative Methods," Econometric Institute Archives 272202, Erasmus University Rotterdam.

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