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Evolutionary Computation Visualization: Application to G-PROP

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Parallel Problem Solving from Nature PPSN VI (PPSN 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1917))

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Abstract

Software visualization is an area of computer science devoted to supporting the understanding and effective use of algorithms. The application of software visualization to Evolutionary Computation has been receiving increasing attention during the last few years. In this paper we apply visualization technique to an evolutionary algorithm for multilayer perceptron training. Our goal is to better understand its internal behavior in order to improve the evolutionary part of the method. As a result of applying this this technique several deficiencies in the method have been discovered.

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Author information

Authors and Affiliations

  1. Department of Architecture and Computer Technology, University of Granada, Campus de Fuentenueva, E. 18071, Granada, Spain

    G. Romero, M. G. Arenas, J. G. Castellano, P. A. Castillo, J. Carpio, J. J. Merelo & A. Prieto

  2. Department of Computer Science, University of Jaén, Avda. Madrid, 35, E. 23071, Jaén, Spain

    V. Rivas

Authors
  1. G. Romero
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  2. M. G. Arenas
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  3. J. G. Castellano
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  4. P. A. Castillo
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  5. J. Carpio
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  6. J. J. Merelo
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  7. A. Prieto
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  8. V. Rivas
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Editor information

Editors and Affiliations

  1. CMAP, Ecole Polytechnique, 91128, Palaiseau Cedex, France

    Marc Schoenauer

  2. Dept. of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur, Kanpur, Pin, 208 016, India

    Kalyanmoy Deb

  3. Fachbereich Informatik, Lehrstuhl für Systemanalyse, Universität Dortmund, Joseph-von-Fraunhofer-Str. 20, 44221, Dortmund, Germany

    Günther Rudolph  & Hans-Paul Schwefel  & 

  4. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Xin Yao

  5. Projet Fractales, INRIA Rocquencourt, BP 105, 78153, Le Chesnay Cedex, France

    Evelyne Lutton

  6. Dept. de Arquitectura y Technologa de los Computadores, GeNeura Team, Universidad de Granada, Campus Fuenetenueva, s/n, Granada

    Juan Julian Merelo

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© 2000 Springer-Verlag Berlin Heidelberg

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Romero, G. et al. (2000). Evolutionary Computation Visualization: Application to G-PROP. In: Schoenauer, M., et al. Parallel Problem Solving from Nature PPSN VI. PPSN 2000. Lecture Notes in Computer Science, vol 1917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45356-3_88

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  • DOI: https://doi.org/10.1007/3-540-45356-3_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41056-0

  • Online ISBN: 978-3-540-45356-7

  • eBook Packages: Springer Book Archive

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