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Improving Efficiency of Metaheuristics for Cellular Automaton Inverse Problem

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Artificial Evolution (EA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8752))

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Abstract

The aim of this paper concerns several propositions to improve previous works based on a combination between metaheuristic and cellular automaton for the generation of 2D shapes. These improvements concern both the reduction of the search space and of the computational time. The first proposition concerns a new approach which delegates the determination of the number of generation to the cellular automaton. The second proposition consists in the reduction of the number of times the cellular automaton is requested. The last proposition concerns the adaptation of the method by exploiting the properties of the expected shape, in particular in case of symmetric shapes. Obtained results show that these propositions permit to improve the results as well as the computational times and the quality of the solution.

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Author information

Authors and Affiliations

  1. LIMOS CNRS UMR 6158, Antenne IUT dAllier, Avenue Aristide Briand, 03100, Montluçon, France

    Fazia Aboud, Nathalie Grangeon & Sylvie Norre

Authors
  1. Fazia Aboud
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  2. Nathalie Grangeon
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  3. Sylvie Norre
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Corresponding author

Correspondence to Fazia Aboud .

Editor information

Editors and Affiliations

  1. INRIA Bordeaux sud-ouest, Equipe CQFD, Institut de Mathématiques de Bordeaux, Université de Bordeaux, Bordeaux, France

    Pierrick Legrand

  2. Université de Bordeaux, Bordeaux, France

    Marc-Michel Corsini

  3. Université d'Angers, Angers Cedex 01, France

    Jin-Kao Hao

  4. Laboratoire d’Informatique de l’Université de Tours, Ecole Polytechnique de l’Université de Tours, Tours, France

    Nicolas Monmarché

  5. INRA, UMR, Thirverval-Grignon, France

    Evelyne Lutton

  6. Equipe TAO, INRIA Futurs, LRI, University of Paris Sud, Orsay cedex, France

    Marc Schoenauer

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Aboud, F., Grangeon, N., Norre, S. (2014). Improving Efficiency of Metaheuristics for Cellular Automaton Inverse Problem. In: Legrand, P., Corsini, MM., Hao, JK., Monmarché, N., Lutton, E., Schoenauer, M. (eds) Artificial Evolution. EA 2013. Lecture Notes in Computer Science(), vol 8752. Springer, Cham. https://doi.org/10.1007/978-3-319-11683-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-11683-9_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11682-2

  • Online ISBN: 978-3-319-11683-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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