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MEFISTO: A Pragmatic Metaheuristic Framework for Adaptive Search with a Special Application to Pickup and Delivery Transports

In: Operations Research Proceedings 2008

Author

Listed:
  • Andreas Cardeneo

    (FZI Forschungszentrum Informatik)

  • Werner Heid

    (PTV AG)

  • Frank Radaschewski

    (PTV AG)

  • Robert Scheffermann

    (FZI Forschungszentrum Informatik)

  • Johannes Spallek

    (FZI Forschungszentrum Informatik)

Abstract

Summary We present MEFISTO, a pragmatic framework for transport optimization algorithms that has been jointly developed by the authors and is integral part of logistics planning solutions provided by PTV AG. We present design aspects that have led to the architecture of the framework using a variant of Granular Tabu Search. For the case of vehicle routing problems with pickup and delivery transports, we present a specialized local search procedure. Summarized results on benchmark and real world problems are given.

Suggested Citation

  • Andreas Cardeneo & Werner Heid & Frank Radaschewski & Robert Scheffermann & Johannes Spallek, 2009. "MEFISTO: A Pragmatic Metaheuristic Framework for Adaptive Search with a Special Application to Pickup and Delivery Transports," Springer Books, in: Bernhard Fleischmann & Karl-Heinz Borgwardt & Robert Klein & Axel Tuma (ed.), Operations Research Proceedings 2008, chapter 41, pages 253-258, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-00142-0_41
    DOI: 10.1007/978-3-642-00142-0_41
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