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A computational study of solution approaches for the resource constrained elementary shortest path problem

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  • Luigi Di Puglia Pugliese
  • Francesca Guerriero

Abstract

We present the results of a computational investigation of solution approaches for the resource constrained elementary shortest path problem ( $\mathcal{RCESPP}$ ). In particular, the best known algorithms are tested on several problem instances taken from literature. The main aims are to provide a detailed state of the art and to evaluate methods that turn out to be the most promising for solving the problem under investigation. This work represents the first attempt to computationally compare solution approaches for the $\mathcal{RCESPP}$ . Copyright Springer Science+Business Media, LLC 2012

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  • Luigi Di Puglia Pugliese & Francesca Guerriero, 2012. "A computational study of solution approaches for the resource constrained elementary shortest path problem," Annals of Operations Research, Springer, vol. 201(1), pages 131-157, December.
    • Handle: RePEc:spr:annopr:v:201:y:2012:i:1:p:131-157:10.1007/s10479-012-1162-x
    DOI: 10.1007/s10479-012-1162-x
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    References listed on IDEAS

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    Cited by:

    1. Martinelli, Rafael & Pecin, Diego & Poggi, Marcus, 2014. "Efficient elementary and restricted non-elementary route pricing," European Journal of Operational Research, Elsevier, vol. 239(1), pages 102-111.
    2. P. Festa & F. Guerriero & A. Napoletano, 2019. "An auction-based approach for the re-optimization shortest path tree problem," Computational Optimization and Applications, Springer, vol. 74(3), pages 851-893, December.
    3. Luigi Di Puglia Pugliese & Francesca Guerriero, 2016. "On the shortest path problem with negative cost cycles," Computational Optimization and Applications, Springer, vol. 63(2), pages 559-583, March.

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