Title :
Applied research of genetic algorithm in the demand of book resources
Author :
Shu-ling, Deng ; Liang-wu, Shi
Author_Institution :
College of Accounting Hunan University of Commerce Changsha, China
Abstract :
Genetic algorithm is suitable for the complex and non-linear problem that can not be solved by traditional method, which has been widely used in many areas, and it will become one of main techniques in intelligent computation. This article takes the dynamic series of number of printed books in during several years as example, discussing modeling method of succession forecast model based on GA and validity of forecast precision.
Keywords :
Computational modeling; Computers; Genetic algorithms; Genetics; Logistics; Predictive models; Genetic algorithm; book resources; fitting; modeling; precision;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5882323
