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 :
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