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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2009: Applications of Evolutionary Computing pp 518–527Cite as

Evolved Ricochet Compositions

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

Abstract

We consider evolutionary art based on the ricochet art-making technique. With this technique, a sequence of line segments defined by particles moving within the interior of a polygon is developed into a geometric composition by virtue of the fact that reflection (the ricochet) is used to ensure that whenever a particle meets an existing line segment it does not cross it. There is also a rule for filling some of the interior polygons that are formed by particle trajectories based on line color attributes. We establish a genetic infrastructure for this technique and then consider objective measures based on ratio statistics for aesthetically evaluating the results. For the special case of four particles in motion within a square we also examine fitness landscape questions.

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Author information

Authors and Affiliations

  1. University of Richmond, Richmond, VA 23173, USA

    Gary Greenfield

Authors
  1. Gary Greenfield
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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Greenfield, G. (2009). Evolved Ricochet Compositions. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_58

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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