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Evolutionary and interactive sketching tool for innovative car shape design

Published online by Cambridge University Press:  22 May 2013

Bernard Yannou,
François Cluzel and
Markus Dihlmann
Bernard Yannou*
Affiliation:
Laboratoire Genie Industriel, École Centrale Paris Grande Voie des Vignes, 92290 Chatenay-Malabry, France
François Cluzel
Affiliation:
Laboratoire Genie Industriel, École Centrale Paris Grande Voie des Vignes, 92290 Chatenay-Malabry, France
Markus Dihlmann
Affiliation:
Institute of Applied Analysis and Numerical Simulation, University of Stuttgart Pfaffenwaldring 57, 70569 Stuttgart, Germany
*
a Corresponding author: bernard.yannou@ecp.fr

Abstract

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So as to create innovative car silhouettes, we propose in this paper a model based on an Interactive Genetic Algorithm using an encoding of a design solution by a Fourier analysis approach. This model permits the designer to browse through generations of car profiles from an initial population of existing silhouettes. By qualitatively assessing each individual, the designer converges towards solutions complying with his/her requirements and preferences, possibly creating novelty and generating surprise. We describe here tests for assessing the efficiency of this innovative design platform. These tests are mainly based on a similarity index, a similarity measure being the perceived distance between two cars silhouettes. The results highlight a good convergence toward a satisfactory solution. In addition, this design process turns out to be very flexible because of the local and intuitive modifications allowed on a given individual solution at any moment of the design process.

Keywords

Interactive genetic algorithmevolutionary designshape designsubjective evaluationuser testscar profile

Information

Type
Research Article
Information
Mechanics & Industry , Volume 14 , Issue 1 , 2013, pp. 1 - 22
Copyright
© AFM, EDP Sciences 2013

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