eprintid: 618
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/18
datestamp: 2023-11-09 15:48:45
lastmod: 2023-11-09 15:48:45
status_changed: 2023-11-09 15:22:49
type: article
metadata_visibility: show
creators_name: Farooq, H.
creators_name: Zakaria, M.N.
creators_name: Hassan, Mohd.F.
creators_name: Sulaiman, S.
title: An approach to derive parametric L-system using genetic algorithm
ispublished: pub
keywords: Appropriate fitness function; Branching structures; L-systems; Multilayered architecture; Numerical parameters; Parametric L-System; Plant modeling; Rewriting rules, Computer graphics; Function evaluation; Visualization, Genetic algorithms
note: cited By 6; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347
abstract: 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. © 2009 Springer-Verlag.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76549114510&doi=10.1007%2f978-3-642-05036-7_43&partnerID=40&md5=898559c7f0914b08417b133ea73c07e4
id_number: 10.1007/978-3-642-05036-7₄₃
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 5857 L
place_of_pub: Kuala Lumpur
pagerange: 455-466
refereed: TRUE
isbn: 3642050352; 9783642050350
issn: 03029743
citation:   Farooq, H. and Zakaria, M.N. and Hassan, Mohd.F. and Sulaiman, S.  (2009) An approach to derive parametric L-system using genetic algorithm.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5857 L.  pp. 455-466.  ISSN 03029743