Title :
The Research of Plant Simulation Based on Improved Genetic Algorithms
Author :
Li, Xiang ; Bai, Sen ; Zhu, Li
Author_Institution :
Sch. of Comput., China Univ. of Geosci., Wuhan
Abstract :
Plants simulation plays an increasingly important role in our learning and life. But the choosing of modeling parameters, related to the simulation results good or bad. This paper use improved genetic algorithm to optimize the parameters to obtain a high degree of adaptation parameters. The results of experiments indicate that forest-environment model established by improved genetic algorithm can avoid cross and overcast between trees using the phototropism of plants and the effect between plants and show up the space character of tree growing preferably; it reproduces the growing process of forest factually.
Keywords :
botany; genetic algorithms; adaptation parameters; botany; forest-environment model; genetic algorithms; plant phototropism; plant simulation; Automatic control; Biological system modeling; Computational modeling; Computer science; Computer simulation; Genetic algorithms; Geology; Lighting; Shape control; Software engineering; Plant simulation; genetic algorithms; illumination model;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.560