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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection pp 246–250Cite as

An Agent-Swarm Simulator for Dynamic Vehicle Routing Problem Empirical Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11523))

Abstract

This demo shows an empirical analysis of the Dynamic Vehicle Routing Problem in multiple configurations, within a agent-swarm optimization scenario. With the purpose of statistically evaluating how solutions to this problem evolve when varying gobal system parameters, an agent-swarm simulator has been implemented within the Netlogo framework, and used to extract experimental data.

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References

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Author information

Authors and Affiliations

  1. Università Politecnica delle Marche, Ancona, Italy

    Nicola Falcionelli, Paolo Sernani, Dagmawi Neway Mekuria & Aldo Franco Dragoni

Authors
  1. Nicola Falcionelli
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  2. Paolo Sernani
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  3. Dagmawi Neway Mekuria
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  4. Aldo Franco Dragoni
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Corresponding author

Correspondence to Nicola Falcionelli .

Editor information

Editors and Affiliations

  1. Grenoble Computer Science Laboratory, Grenoble, France

    Yves Demazeau

  2. Purdue University, West Lafayette, IN, USA

    Eric Matson

  3. University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  4. University of Salamanca, Salamanca, Spain

    Fernando De la Prieta

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Cite this paper

Falcionelli, N., Sernani, P., Mekuria, D.N., Dragoni, A.F. (2019). An Agent-Swarm Simulator for Dynamic Vehicle Routing Problem Empirical Analysis. In: Demazeau, Y., Matson, E., Corchado, J., De la Prieta, F. (eds) Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection. PAAMS 2019. Lecture Notes in Computer Science(), vol 11523. Springer, Cham. https://doi.org/10.1007/978-3-030-24209-1_23

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  • DOI: https://doi.org/10.1007/978-3-030-24209-1_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24208-4

  • Online ISBN: 978-3-030-24209-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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