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European Conference on the Applications of Evolutionary Computation

EvoApplications 2011: Applications of Evolutionary Computation pp 424–433Cite as

Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6625))

Abstract

This paper proposes an algorithm through which the development of computationally generated forms can be externally directed towards both functional objectives and intuitive design targets. More precisely, it presents a special version of Interactive Genetic Algorithm, which introduces Weighted Mutation as a method to support the long life of genes corresponding to favored phenotypic characteristics. At the same time, optimization processes towards operational goals are also enabled. A set of experiments is conducted on the case study of a building façade, which appears to provide a suitable means for the investigation of functional, as well as aesthetic issues. The results are positively assessed, since they prove that this new methodology broadens the capacities of standard Interactive Genetic Algorithms, shedding light on how a constructive human-machine relationship can benefit the design process.

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Author information

Authors and Affiliations

  1. 11, Reas Street, 152 37 Filothei, Athens, Greece

    Eirini Vouliouri

Authors
  1. Eirini Vouliouri
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, University of Strathclyde, 16 Richmond Street, G1 1XQ, Glasgow, UK

    Cecilia Di Chio

  2. School of Business, University College Dublin, 4, Belfield, Dublin, UK

    Anthony Brabazon

  3. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Galleria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  4. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  5. Next Generation Intelligent Networks Research Center (nexGIN RC), National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan

    Muddassar Farooq

  6. Department of Information Systems, Johannes Gutenberg-Universität, 55099, Mainz, Germany

    Jörn Grahl

  7. Mathematics and Computer Science Depatment, University of Richmond, 23173, Richmond, VA, USA

    Gary Greenfield

  8. ICD - OSI, University of Technology of Troyes, 12, Rue Marie Curie, BP 2060, 10010, Troyes, France

    Christian Prins

  9. Facultad de Informatica, Universidade de A Coruña, 15071, Coruña, CP, Spain

    Juan Romero

  10. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

  11. Consiglio Nazionale delle Ricerche (CNR), Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Via P. Castellino 111, 80131, Naples, Italy

    Ernesto Tarantino

  12. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante 65, 26013, Crema (CR), Italy

    Andrea G. B. Tettamanzi

  13. School of Computing, Edinburgh Napier University, 10 Clinton Road, EH10 5DT, Edinburgh, UK

    Neil Urquhart

  14. Computer Engineering Department, Istanbul Technical University, Room Nr. 3302, Maslak, 34469, Istanbul, Turkey

    A. Şima Uyar

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© 2011 Springer-Verlag Berlin Heidelberg

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Vouliouri, E. (2011). Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_43

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  • DOI: https://doi.org/10.1007/978-3-642-20520-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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