An Approach to Derive Parametric L-System Using Genetic Algorithm

In computer graphics, L-System is widely used to model artificial plants structures and fractals. The Genetic Algorithm (GA) is the most popular form of Evolutionary Algorithms. This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System u...

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Main Authors: Farooq, H., Zakaria, M.N., Hassan, M.F., Sulaiman, S.
Other Authors: Badioze Zaman, H.
Format: Book Section
Language:English
Published: Springer Verlag 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1678/
http://scholars.utp.edu.my/id/eprint/1678/1/LNCS_5857.pdf
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author Farooq, H.
Zakaria, M.N.
Hassan, M.F.
Sulaiman, S.
author2 Badioze Zaman, H.
author_facet Badioze Zaman, H.
Farooq, H.
Zakaria, M.N.
Hassan, M.F.
Sulaiman, S.
author_sort Farooq, H.
building UTP Institutional Repository
collection Online Access
description In computer graphics, L-System is widely used to model artificial plants structures and fractals. The Genetic Algorithm (GA) is the most popular form of Evolutionary Algorithms. This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System using appropriate fitness function. The approach is specifically based on the implementation of two layered GA to derive the rewriting rules of Parametric L-System. The higher level of GA deals with the evolution of symbols and lower level deals with the evolution of numerical parameters. Initial results derived from the approach are very promising, which shows that complicated branching structures can be easily derived by the multilayered architecture of GA.
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:25:54Z
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spelling oai:scholars.utp.edu.my:16782017-01-19T08:25:39Z http://scholars.utp.edu.my/id/eprint/1678/ An Approach to Derive Parametric L-System Using Genetic Algorithm Farooq, H. Zakaria, M.N. Hassan, M.F. Sulaiman, S. QA75 Electronic computers. Computer science QA76 Computer software In computer graphics, L-System is widely used to model artificial plants structures and fractals. The Genetic Algorithm (GA) is the most popular form of Evolutionary Algorithms. This paper examines a method for automatic plant modeling which is based on an integration of GA and Parametric L-System using appropriate fitness function. The approach is specifically based on the implementation of two layered GA to derive the rewriting rules of Parametric L-System. The higher level of GA deals with the evolution of symbols and lower level deals with the evolution of numerical parameters. Initial results derived from the approach are very promising, which shows that complicated branching structures can be easily derived by the multilayered architecture of GA. Springer Verlag Badioze Zaman, H. 2009 Book Section PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/1678/1/LNCS_5857.pdf Farooq, H. and Zakaria, M.N. and Hassan, M.F. and Sulaiman, S. (2009) An Approach to Derive Parametric L-System Using Genetic Algorithm. In: Visual Informatics: Bridging Research and Practice. Lecture Notes in Computer Science, Volume . Springer Verlag, Berlin Heidelberg, pp. 455-466. ISBN 978-3-642-05035-0 http://www.springerlink.com/content/y3l8485mgq5p5101/
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Farooq, H.
Zakaria, M.N.
Hassan, M.F.
Sulaiman, S.
An Approach to Derive Parametric L-System Using Genetic Algorithm
title An Approach to Derive Parametric L-System Using Genetic Algorithm
title_full An Approach to Derive Parametric L-System Using Genetic Algorithm
title_fullStr An Approach to Derive Parametric L-System Using Genetic Algorithm
title_full_unstemmed An Approach to Derive Parametric L-System Using Genetic Algorithm
title_short An Approach to Derive Parametric L-System Using Genetic Algorithm
title_sort approach to derive parametric l-system using genetic algorithm
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://scholars.utp.edu.my/id/eprint/1678/
http://scholars.utp.edu.my/id/eprint/1678/
http://scholars.utp.edu.my/id/eprint/1678/1/LNCS_5857.pdf