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GridVis: Visualisation of Island-Based Parallel Genetic Algorithms

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Applications of Evolutionary Computation (EvoApplications 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8602))

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Abstract

Island Model parallel genetic algorithms rely on various migration models and their associated parameter settings. A fine understanding of how the islands interact and exchange informations is an important issue for the design of efficient algorithms. This article presents GridVis, an interactive tool for visualising the exchange of individuals and the propagation of fitness values between islands. We performed several experiments on a grid and on a cluster to evaluate GridVis’ ability to visualise the activity of each machine and the communication flow between machines. Experiments have been made on the optimisation of a Weierstrass function using the EASEA language, with two schemes: a scheme based on uniform islands and another based on specialised islands (Exploitation, Exploration and Storage Islands).

This work has been funded by the French National Agency for research (ANR), under the grant ANR-11-EMMA-0017, EASEA-Cloud Emergence project 2011, http://www.agence-nationale-recherche.fr/

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Author information

Authors and Affiliations

  1. INRA, UMR GMPA, 1 Av. Brétignières, 78850, Thiverval-Grignon, France

    Evelyne Lutton

  2. ENSTA ParisTech, 828, Boulevard des Maréchaux, 91762, Palaiseau Cedex, France

    Hugo Gilbert

  3. INRIA Saclay-Ile-de-France, AVIZ team, Bâtiment 660, 91405, Orsay Cedex, France

    Waldo Cancino & Benjamin Bach

  4. ICube laboratory, Strasbourg University, and ECCE, CS-DC UNESCO UniTwin, 7, rue René Descartes, 67084, Strasbourg, France

    Pierre Parrend & Pierre Collet

  5. Schiltigheim, ECAM Strasbourg-Europe 2, Rue de Madrid CS 20013, 67012, Strasbourg Cedex, France

    Pierre Parrend

Authors
  1. Evelyne Lutton
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  2. Hugo Gilbert
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  3. Waldo Cancino
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  4. Benjamin Bach
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  5. Pierre Parrend
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  6. Pierre Collet
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Corresponding author

Correspondence to Evelyne Lutton .

Editor information

Editors and Affiliations

  1. Depto. Estadística e Investigación, Universidad Politécnica de Valencia, Valencia, Spain

    Anna I. Esparcia-Alcázar

  2. University of Granada, Granada, Spain

    Antonio M. Mora

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Lutton, E., Gilbert, H., Cancino, W., Bach, B., Parrend, P., Collet, P. (2014). GridVis: Visualisation of Island-Based Parallel Genetic Algorithms. In: Esparcia-Alcázar, A., Mora, A. (eds) Applications of Evolutionary Computation. EvoApplications 2014. Lecture Notes in Computer Science(), vol 8602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45523-4_57

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  • DOI: https://doi.org/10.1007/978-3-662-45523-4_57

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45522-7

  • Online ISBN: 978-3-662-45523-4

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