Advertisement

The Discrete Bacterial Memetic Evolutionary Algorithm for Solving the One-Commodity Pickup-and-Delivery Traveling Salesman Problem

  • Boldizsár Tüű-SzabóEmail author
  • Péter Földesi
  • László T. Kóczy
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 819)

Abstract

In this paper we propose a population based memetic algorithm, the Discrete Bacterial Memetic Evolutionary Algorithm for solving the one-commodity Pickup-and-Delivery Traveling Salesman Problem. The algorithm was tested on benchmark instances up to 100 nodes, and the results were compared with the state-of-the art methods in the literature. For all instances the DBMEA found optimal or close-optimal solutions.

Keywords

Combinatorial optimization Pickup and delivery Metaheuristic 

Notes

Acknowledgements

The research presented in this paper was funded by the Higher Education Institutional Excellence Program.

This research was supported by the National Research, Development and Innovation Office (NKFIH) K124055.

Open image in new window Supported by the ÚNKP-17-3 New National Excellence Program of the Ministry of Human Capacities.

References

  1. 1.
    Hernández-Pérez, H., Salazar-González, J.J.: Heuristics for the one-commodity pickup-and-delivery travelling salesman problem. Trans. Sci. 38, 245–255 (2004)CrossRefGoogle Scholar
  2. 2.
    Kóczy, L.T., Földesi, P., Tüű-Szabó, B.: A discrete bacterial memetic evolutionary algorithm for the traveling salesman problem. In: IEEE World Congress on Computational Intelligence (WCCI 2016), pp. 3261–3267. Vancouver, Canada, (2016)Google Scholar
  3. 3.
    Kóczy, L.T., Földesi, P., Tüű-Szabó, B.: An effective discrete bacterial memetic evolutionary algorithm for the traveling salesman problem. Int. J. Intell. Syst. 32(8), 862–876 (2017)CrossRefGoogle Scholar
  4. 4.
    Tüű-Szabó, B., Földesi, P., Kóczy, T.L.: Improved discrete bacterial memetic evolutionary algorithm for the traveling salesman problem. In: Proceedings of the Computational Intelligence in Information Systems Conference (CIIS 2016) pp. 27–38. Bandar Seri Begawan, Brunei (2017)Google Scholar
  5. 5.
    Kóczy, L.T., Földesi, P., Tüű-Szabó, B.: Enhanced discrete bacterial memetic evolutionary algorithm-an efficacious metaheuristic for the traveling salesman optimization, Information Sciences (2017)Google Scholar
  6. 6.
    Tüű-Szabó, B., Földesi, P., Kóczy, T.L.: Discrete bacterial memetic evolutionary algorithm for the time dependent traveling salesman problem In: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU2018, pp. 523–533. Cádiz, Spain, (2018)Google Scholar
  7. 7.
    Moscato, P.: On Evolution, search, optimization, genetic algorithms and martial arts—Towards memetic algorithms. In: Technical Report Caltech Concurrent Computation Program, Report. 826, California Institute of Technology, Pasadena, USA (1989)Google Scholar
  8. 8.
    Nawa, N.E., Furuhashi, T.: Fuzzy system parameters discovery by bacterial evolutionary algorithm. IEEE Tr. Fuzzy Syst. 7, 608–616 (1999)CrossRefGoogle Scholar
  9. 9.
    Mladenovic, N., Uroševic, D., Hanafi, S., Ilic, A.: A general variable neighborhood search for the one-commodity pickup-and-delivery travelling salesman problem. Eur. J. Oper. Res. 220, 270–285 (2012)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Zhao, F., Li, S., Sun, J., Mei, D.: Genetic algorithm for the one-commodity pickup-and-delivery travelling salesman problem. Comput. Ind. Eng. 56, 1642–1648 (2009)CrossRefGoogle Scholar
  11. 11.
    Hernández-Pérez, H., Rodríguez-Martín, I., Salazar-González, J.J.: A hybrid GRASP/VND heuristic for the one-commodity pickup-and-delivery travelling salesman problem. Comput. Oper. Res. 36, 1639–1645 (2009)CrossRefGoogle Scholar
  12. 12.
    Hernández-Pérez, H., Salazar-González, J.J.: A branch-and-cut algorithm for a travelling salesman problem with pickup and delivery. Discrete Appl. Math. 145, 126–139 (2004)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Boldizsár Tüű-Szabó
    • 1
    Email author
  • Péter Földesi
    • 2
  • László T. Kóczy
    • 1
    • 3
  1. 1.Department of Information TechnologySzéchenyi István UniversityGyőrHungary
  2. 2.Department of LogisticsSzéchenyi István UniversityGyőrHungary
  3. 3.Department of Telecommunications and Media InformaticsBudapest University of Technology and EconomicsBudapestHungary

Personalised recommendations