Examples of genetic algorithms usage in geometry and algorithmic design
Authors:
- Michał Nessel,
- Szymon Filipowski
Abstract
In this paper, the authors test genetic algorithms as geometric and design issues’ solvers to explain and explore the possibilities of this computing technique in design and research. The tests and explanations are based on three classical geometry problems of the Ancient Greece and on a pattern distribution algo-rithm, created by the authors and inspired by the definition of Lebesgue covering dimension. The basic tools for research are: Rhinoceros, theGrasshopper plug-in and theGalapagos tool. The tests prove that, as a result based on computing techniques, genetic algorithms can be used to find solutions without the im-plementation of analytic methods. This advantage of evolutionary computing can be very useful in case of complex issues, where implementation of analytic methods reveals itself difficult or even impossible.
- Record ID
- CUT376e12350b874d09b235bbbf845975b5
- Publication categories
- ; ;
- Author
- Journal series
- Boletim da Aproged, ISSN 2183-1939
- Issue year
- 2018
- Vol
- 34
- Pages
- 18-23
- Other elements of collation
- rys.; Bibliografia (na s.) - 23; Bibliografia (liczba pozycji) - 10; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - [Vol.] 34
- Conference
- GEOMETRIAS'17 : thinking, drawing, modelling, 2017, 16-06-2017 - 18-06-2017, Coimbra, Portugalia
- Keywords in English
- genetic algorithms, evolutionary computing, algorithmic design, descriotive geometry, Grasshopper, parametric design
- URL
- http://www.aproged.pt/boletins.html Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 1
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT376e12350b874d09b235bbbf845975b5/
- URN
urn:pkr-prod:CUT376e12350b874d09b235bbbf845975b5
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