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Optimization Of Postal Routes By Genetic Algorithm For Solving The Multiple Traveling Salesman Problem

Author

Listed:
  • Martin Macík

    (Faculty of Operation and Economics of Transport and Communications, University of Žilina)

  • Jozef Štefunko

    (Faculty of Operation and Economics of Transport and Communications, University of Žilina)

Abstract

High level of competition on postal market increases demands on reliability of postal services and lowering of transport costs. This can be achieved by optimizing the routing of postal vehicles. The article discusses the possibilities of such optimization by using graph theory. It describes basic methods of finding optimal routes using a graph. The approach, used in this article, assesses the possibility of applying meta-heuristic solution to the traveling salesman problem in the postal sector. Simulation of methods described has been applied on a regional postal network. Results showed that the software used proves to be sufficiently functional for the field of postal transport networks.

Suggested Citation

  • Martin Macík & Jozef Štefunko, 2015. "Optimization Of Postal Routes By Genetic Algorithm For Solving The Multiple Traveling Salesman Problem," CBU International Conference Proceedings, ISE Research Institute, vol. 3(0), pages 043-049, September.
    • Handle: RePEc:aad:iseicj:v:3:y:2015:i:0:p:043-049
    DOI: 10.12955/cbup.v3.582
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    More about this item

    Keywords

    Postal networkgraph theory; heuristic methods; genetic algorithm; traveling salesman;
    All these keywords.

    JEL classification:

    • L87 - Industrial Organization - - Industry Studies: Services - - - Postal and Delivery Services
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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