DocumentCode
2083416
Title
Afforestation Program based on self-adaptive Genetic Algorithm
Author
Li, JinMing ; Wang, MeiFang
Author_Institution
Data Min., Artificial Intell., Fujian Agri.&Fore. Univ., China
Volume
1
fYear
2008
fDate
17-19 Nov. 2008
Firstpage
545
Lastpage
548
Abstract
For a long time, afforestation program workers mainly depend on manual planning or use of some common computer software to aid planning, which make the work tedious and inefficient, and bring about rough design and unscientific calculation. The paper sets forward genetic algorithm to determine the most effectual scheme under the restricted conditions of funds, variety and quantities of seedlings. The mathematical models and concrete methods are offered and discussed. And it is found out the satisfactory results by applying this algorithm on afforestation program under the restricted conditions.
Keywords
forestry; genetic algorithms; planning; afforestation program; computer software; manual planning; rough design; self-adaptive genetic algorithm; unscientific calculation; Artificial intelligence; Convergence; Educational institutions; Forestry; Genetic algorithms; Intelligent systems; Knowledge engineering; Optimization methods; Software; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-2196-1
Electronic_ISBN
978-1-4244-2197-8
Type
conf
DOI
10.1109/ISKE.2008.4730991
Filename
4730991
Link To Document