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A trust branching path heuristic for zero-one programming

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  • Fortin, D.
  • Tseveendorj, I.

Abstract

For 0-1 problems, we propose an exact Branch and Bound procedure where branching strategy is based on empirical distribution of each variable within three intervals [0,[epsilon]],[[epsilon],1-[epsilon]],[1-[epsilon],1] under the linear relaxation model. We compare the strategy on multiknapsack and maximum clique problems with other heuristics.

Suggested Citation

  • Fortin, D. & Tseveendorj, I., 2009. "A trust branching path heuristic for zero-one programming," European Journal of Operational Research, Elsevier, vol. 197(2), pages 439-445, September.
    • Handle: RePEc:eee:ejores:v:197:y:2009:i:2:p:439-445
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    References listed on IDEAS

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    1. María Osorio & Fred Glover & Peter Hammer, 2002. "Cutting and Surrogate Constraint Analysis for Improved Multidimensional Knapsack Solutions," Annals of Operations Research, Springer, vol. 117(1), pages 71-93, November.
    2. Fortin, Dominique & Tsevendorj, Ider, 2004. "Global optimization and multi knapsack: A percolation algorithm," European Journal of Operational Research, Elsevier, vol. 154(1), pages 46-56, April.
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