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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Springer Verlag
2009
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my.utp.eprints.16782017-01-19T08:25:39Z 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 http://eprints.utp.edu.my/1678/1/LNCS_5857.pdf http://www.springerlink.com/content/y3l8485mgq5p5101/ 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://eprints.utp.edu.my/1678/ |
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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 |
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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. |
| author2 |
Badioze Zaman, H. |
| author_facet |
Badioze Zaman, H. Farooq, H. Zakaria, M.N. Hassan, M.F. Sulaiman, S. |
| format |
Book Section |
| author |
Farooq, H. Zakaria, M.N. Hassan, M.F. Sulaiman, S. |
| author_sort |
Farooq, H. |
| title |
An Approach to Derive Parametric L-System Using Genetic Algorithm |
| title_short |
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_sort |
approach to derive parametric l-system using genetic algorithm |
| publisher |
Springer Verlag |
| publishDate |
2009 |
| url |
http://eprints.utp.edu.my/1678/1/LNCS_5857.pdf http://www.springerlink.com/content/y3l8485mgq5p5101/ http://eprints.utp.edu.my/1678/ |
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13.211869 |