Title :
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
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;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.263
