DocumentCode :
2608547
Title :
A New Method of Parameters Optimization of Plant Growth Posture
Author :
Li, Xiang ; Zheng, Xiang ; Li, Yanli
Author_Institution :
Sch. of Comput. Sci. & Technol., China Univ. of Geosci., Wuhan, China
Volume :
4
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
114
Lastpage :
116
Abstract :
Plant simulation is one of hot research fields in computer graphics. But the choice of model parameters is related to the simulation results directly. The paper proposed a new method that used L-system and illumination model to establish plant simulation model. And using genetic algorithms to optimize parameters, and obtain a high fitness parameters group. Experiments results indicated that group simulation model established by parameters which was optimized by GA made full use of the plant phototropism and the interaction between plants, and it can avoid cross and overcast between trees and show up the space character of tree growing preferably. Results show that plants had a better growth profile, and made a true representation of the forest growth.
Keywords :
botany; computer graphics; genetic algorithms; L-system; computer graphics; forest growth; genetic algorithms; illumination model; parameters optimization; plant growth posture; plant phototropism; plant simulation model; Computational modeling; Computer science; Genetic algorithms; Geology; Graphics; Lighting; Optimization methods; Shape control; Solid modeling; Visualization; L-system; Parameters optimization; fitness; genetic algorithms; plant simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.338
Filename :
5169138
Link To Document :
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