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Wasp swarm optimization of logistic systems

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Adaptive and Natural Computing Algorithms

Abstract

In this paper, we present the optimization of logistic processes in supply chains using the meta-heuristic algorithm known as wasp swarm, which draws parallels between the process to optimize and the way individuals in wasp colonies interact and allocate tasks to meet the demands of the nest.

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8 References

  1. R. Palm and T. A. Runkler (2002) Multi-agent control of queuing processes. IFAC World Congress, Barcelona, Spain.

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Author information

Authors and Affiliations

  1. Information and Communications, CT IC 4, Siemens AG, Corporate Technology, 81730, Munich, Germany

    Pedro Pinto & Thomas A. Runkler

  2. Instituto Superior Técnico, Dep. Mechanical Engineering - Control, Automation and Robotics Group, Technical University of Lisbon, Av. Rovisco Pais, 1049-001, Lisbon, Portugal

    Pedro Pinto & João M. Sousa

Authors
  1. Pedro Pinto
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  2. Thomas A. Runkler
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  3. João M. Sousa
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Bernardete Ribeiro

  2. Institut für Informatik, Universität Innsbruck, Innsbruck, Austria

    Rudolf F. Albrecht

  3. Fakulteta za Računalništvo in Informatiko, Univerza v Ljubljani, Ljubljana, Slovenia

    Andrej Dobnikar

  4. Equipe Universitaire de Recherche en Informatique de Saint-Etienne (Groupe de Recherche de Roanne) Institut Universitaire de Technologie de Roanne, Université Jean Monnet, Saint-Etienne, France

    David W. Pearson

  5. Division of Mathematics School of Mathematical and Information Sciences, Coventry University, Coventry, UK

    Nigel C. Steele

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© 2005 Springer-Verlag/Wien

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Pinto, P., Runkler, T.A., Sousa, J.M. (2005). Wasp swarm optimization of logistic systems. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_63

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  • DOI: https://doi.org/10.1007/3-211-27389-1_63

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-24934-5

  • Online ISBN: 978-3-211-27389-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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