Research on Intelligent Fixing Test Paper Algorithm Based on Cultural Algorithms and Genetic Algorithm

Author

Yong-ping, Jiang ; Jiao-li, Jiang ; Du Yu-hui ; Yi-ming, Liao

Author_Institution

Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China

Volume

3

fYear

2009

fDate

21-22 May 2009

Firstpage

228

Lastpage

231

Abstract

According to the feature that genetic algorithm (GA) is adapted to requirement of culture algorithms (CA) framework, GA is as the population space of CA and these two Algorithms are applied to the intelligent fixing test paper strategy research by combining. This method guides the population evolution efficiently through belief space and speeds up convergence. The experimental results prove that the algorithm keeps good average fitness and high operating efficiency.

Keywords

genetic algorithms; search problems; stochastic processes; belief space; cultural algorithms; genetic algorithm; intelligent fixing test paper algorithm; population evolution; stochastic search methods; Automatic testing; Convergence; Cultural differences; Electronic equipment; Genetic algorithms; Genetic engineering; Paper technology; Research and development; Space technology; System testing; Culture Algorithms; Genetic Algorithm; Strategy of Intelligent Fixing Test paper; convergence;

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.2009.263

Filename

5168846