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Splitting Procedure of Genetic Algorithm for Column Generation to Solve a Vehicle Routing Problem

In: Operations Research Proceedings 2016

Author

Listed:
  • Martin Scheffler

    (Technische Universität Dresden, Fakultät Wirtschaftswissenschaften, Lehrstuhl für BWL, insb. Industrielles Management)

  • Christina Hermann

    (Technische Universität Dresden, Fakultät Verkehrswissenschaften “Friedrich List”, Professur für Verkehrsbetriebslehre und Logistik)

  • Mathias Kasper

    (Technische Universität Dresden, Fakultät Verkehrswissenschaften “Friedrich List”, Professur für Verkehrsbetriebslehre und Logistik)

Abstract

This paper considers an extended Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows (VRPSPDTW). For this problem we describe a simple but effective extension of a genetic algorithm (GA) based on chromosome permutation and a splitting procedure. For large instances it is obvious to use the original GA as benchmark. These approaches are applied on test instances for the considered problem and on Solomon instances.

Suggested Citation

  • Martin Scheffler & Christina Hermann & Mathias Kasper, 2018. "Splitting Procedure of Genetic Algorithm for Column Generation to Solve a Vehicle Routing Problem," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 321-328, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_43
    DOI: 10.1007/978-3-319-55702-1_43
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