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Parallel CUDA Architecture for Solving de VRP with ACO

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Industrial Engineering: Innovative Networks

Abstract

Ant Colony Optimization (ACO) is an effective meta-heuristic for the solution of a wide variety of problems. Its computation is intrinsically massively parallel, and it is therefore theoretically well-suited for implementation on Graphics Processing Units (GPUs). In this paper, we propose a parallelization strategy to solve the VRP with ACO on the GPU.

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Acknowledgments

This work partly stems from the participation of the authors in a research project funded by the Spanish Ministerio de Industria, Comercio y Turismo, Proyecto Avanza reference TSI-020100-2010-962, titled ‘Arquitectura de servicios de supercomputación en la nube’ (AMBU).

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Authors and Affiliations

  1. Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, Spain

    Francisco Javier Diego, Eva María Gómez, Miguel Ortega-Mier & Álvaro García-Sánchez

Authors
  1. Francisco Javier Diego
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  2. Eva María Gómez
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  3. Miguel Ortega-Mier
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  4. Álvaro García-Sánchez
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Corresponding author

Correspondence to Francisco Javier Diego .

Editor information

Editors and Affiliations

  1. School of Management, University of Texas, Dallas, Richardson, Texas, USA

    Suresh P. Sethi

  2. Fac. Economics, University in Ljubljana, Kardeljeva plošcad 17, Ljubljana, 1000, Slovenia

    Marija Bogataj

  3. , Escuela Técnica Superior de Ingeniería I, Universidad Politécnica de Cartagena, Dr. Fleming, Cartagena, 30202, Spain

    Lorenzo Ros-McDonnell

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© 2012 Springer-Verlag London Limited

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Diego, F.J., Gómez, E.M., Ortega-Mier, M., García-Sánchez, Á. (2012). Parallel CUDA Architecture for Solving de VRP with ACO. In: Sethi, S., Bogataj, M., Ros-McDonnell, L. (eds) Industrial Engineering: Innovative Networks. Springer, London. https://doi.org/10.1007/978-1-4471-2321-7_43

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  • DOI: https://doi.org/10.1007/978-1-4471-2321-7_43

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2320-0

  • Online ISBN: 978-1-4471-2321-7

  • eBook Packages: EngineeringEngineering (R0)

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