TY  - JOUR
AV  - none
SP  - 455
TI  - An approach to derive parametric L-system using genetic algorithm
N1  - cited By 6; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347
SN  - 03029743
EP  - 466
CY  - Kuala Lumpur
ID  - scholars618
KW  - Appropriate fitness function; Branching structures; L-systems; Multilayered architecture; Numerical parameters; Parametric L-System; Plant modeling; Rewriting rules
KW  -  Computer graphics; Function evaluation; Visualization
KW  -  Genetic algorithms
N2  - 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.
Y1  - 2009///
VL  - 5857 L
A1  - Farooq, H.
A1  - Zakaria, M.N.
A1  - Hassan, Mohd.F.
A1  - Sulaiman, S.
JF  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
UR  - 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
ER  -