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Agent-Based Evolutionary System for Traveling Salesman Problem

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Hybrid Artificial Intelligence Systems (HAIS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5572))

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Abstract

Evolutionary algorithms are heuristic techniques based on Darwinian model of evolutionary processes, which can be used to find approximate solutions of optimization and adaptation problems. Agent-based evolutionary algorithms are a result of merging two paradigms: evolutionary algorithms and multi-agent systems. In this paper agent-based evolutionary algorithm for solving well known Traveling Salesman Problem is presented. In the experimental part, results of experiments comparing agent-based evolutionary algorithm and classical genetic algorithm are presented.

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References

  1. Agent-based evolution platform (jAgE), http://age.iisg.agh.edu.pl

  2. Bäck, T., Fogel, D., Michalewicz, Z. (eds.): Handbook of Evolutionary Computation. IOP Publishing/ Oxford University Press (1997)

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  3. Dreżewski, R.: A model of co-evolution in multi-agent system. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS, vol. 2691, pp. 314–323. Springer, Heidelberg (2003)

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  4. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer, Heidelberg (1996)

    Book  MATH  Google Scholar 

  5. Moscato, P.: TSPBIB home page, http://www.ing.unlp.edu.ar/cetad/mos/TSPBIB_home.html

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Author information

Authors and Affiliations

  1. Department of Computer Science, AGH University of Science and Technology, Kraków, Poland

    Rafał Dreżewski, Piotr Woźniak & Leszek Siwik

Authors
  1. Rafał Dreżewski
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  2. Piotr Woźniak
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  3. Leszek Siwik
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Editor information

Editors and Affiliations

  1. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  2. Department of Computer Science, University of Vermont, 33 Colchester Avenue, Burlington, VT, USA

    Xindong Wu

  3. Computer and Information Science, Helsinki University of Technology, P.O. Box 5400, 02015 HUT, Finland

    Erkki Oja

  4. Grupo de Investigación GICAP, Área de Lenguajes y Sistemas Informáticos, Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Burgos, Campus Vena, Francisco de Vitoria, 09006, Burgos, Spain

    Álvaro Herrero  & Bruno Baruque  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Dreżewski, R., Woźniak, P., Siwik, L. (2009). Agent-Based Evolutionary System for Traveling Salesman Problem. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02319-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-02319-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02318-7

  • Online ISBN: 978-3-642-02319-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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