Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-05036-7_43 | IVIC |
Keywords | Field | DocType |
higher level,derive parametric l-system,automatic plant modeling,appropriate fitness function,lower level deal,layered ga,genetic algorithm,artificial plants structure,ga deal,evolutionary algorithms,parametric l-system,visualization,computer graphic,computer graphics,fitness function,evolutionary algorithm | Evolutionary algorithm,Multilayered architecture,Computer science,Algorithm,L-system,Fitness function,Parametric statistics,Rewriting,Computer graphics,Genetic algorithm | Conference |
Volume | ISSN | Citations |
5857 | 0302-9743 | 3 |
PageRank | References | Authors |
0.49 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Humera Farooq | 1 | 5 | 0.88 |
| M. Nordin Zakaria | 2 | 12 | 3.65 |
| Mohd. Fadzil Hassan | 3 | 39 | 12.59 |
| Suziah Sulaiman | 4 | 33 | 10.75 |