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ŠKAROUPKA, D.; ŠANDERA, Č.
Original Title
Automated design of vehicle silhouette using genetic algorithms and statistical analysis
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
This paper describes a method for the automatic design of vehicle silhouettes. Along history many different vehicles have been created, but most of them share the same features. We can extract these features through statistical analysis (principal component analysis) and use them for building the shape of a vehicles silhouette. To produce the new original silhouettes we utilize optimization method (a genetic algorithm) which fits the new silhouette to the prescribed physical conditions, e.g. space for the engine, space for the passengers etc. This algorithm serves as a source of inspiration for human designers and can be generalized to producing arbitrary kind of products.
English abstract
Keywords
vehicle design, vehicle styling, product design, styling, PCA (principal component analysis), genetic algorithms, Design and Product Development
Key words in English
Authors
RIV year
2012
Released
30.11.2011
Publisher
MECCA
Location
Praha
ISBN
1214-0821
Periodical
MECCA - Journal of Middle European Costruction and Design of Cars
Volume
2011
Number
3
State
Czech Republic
Pages from
1
Pages to
5
Pages count
BibTex
@article{BUT50621, author="David {Škaroupka} and Čeněk {Šandera}", title="Automated design of vehicle silhouette using genetic algorithms and statistical analysis", journal="MECCA - Journal of Middle European Costruction and Design of Cars", year="2011", volume="2011", number="3", pages="1--5", issn="1214-0821" }