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A Parallel Swarm Library Based on Functional Programming

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Advances in Computational Intelligence (IWANN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10305))

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Abstract

In this paper we present a library of parallel skeletons to deal with swarm intelligence metaheuristics. The library is implemented using the parallel functional language Eden, an extension of the sequential functional language Haskell. Due to the higher-order nature of functional languages, we simplify the task of writing generic code, and also the task of comparing different strategies. The paper illustrates how to develop new skeletons and presents empirical results.

This work has been partially supported by projects TIN2012-39391-C04-04, TIN2015-67522-C3-3-R, and S2013/ICE-2731.

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Author information

Authors and Affiliations

  1. Facultad Informática, Universidad Complutense de Madrid, 28040, Madrid, Spain

    Fernando Rubio, Alberto de la Encina, Pablo Rabanal & Ismael Rodríguez

Authors
  1. Fernando Rubio
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  2. Alberto de la Encina
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  3. Pablo Rabanal
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  4. Ismael Rodríguez
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Corresponding author

Correspondence to Alberto de la Encina .

Editor information

Editors and Affiliations

  1. Universidad de Granada , Granada, Spain

    Ignacio Rojas

  2. University of Malaga , Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Barcelona, Spain

    Andreu Catala

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Rubio, F., de la Encina, A., Rabanal, P., Rodríguez, I. (2017). A Parallel Swarm Library Based on Functional Programming. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10305. Springer, Cham. https://doi.org/10.1007/978-3-319-59153-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-59153-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59152-0

  • Online ISBN: 978-3-319-59153-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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