relation: https://khub.utp.edu.my/scholars/618/
title: An approach to derive parametric L-system using genetic algorithm
creator: Farooq, H.
creator: Zakaria, M.N.
creator: Hassan, Mohd.F.
creator: Sulaiman, S.
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. © 2009 Springer-Verlag.
date: 2009
type: Article
type: PeerReviewed
identifier:   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     
relation: 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
relation: 10.1007/978-3-642-05036-7₄₃
identifier: 10.1007/978-3-642-05036-7₄₃