DocumentCode :
3187344
Title :
The research and realization of multi-threaded intelligent test paper generation based on genetic algorithm
Author :
Shan, Ying
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Tianjin Polytech. Univ., Tianjin, China
fYear :
2010
fDate :
3-5 Dec. 2010
Firstpage :
461
Lastpage :
464
Abstract :
In this paper, a new multi-threaded intelligent strategy of generating test paper based on genetic algorithm is proposed to replace the current test paper generation algorithms that have the disadvantages of lower power, longer time and difficulty in fulfilling the requirements. This algorithm is compared in a number of experiments with the series genetic algorithm and proved to be faster and better. It can be applied in the situations of practical test paper generation.
Keywords :
computer aided instruction; genetic algorithms; multi-threading; genetic algorithm; multithreaded intelligent test paper generation; Algebra; Artificial intelligence; Computers; Databases; Genetic algorithms; Instruction sets; Parallel algorithms; genetic algorithm; mathematic model; multi-objective optimization; multi-thread;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Application (ICCIA), 2010 International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-8597-0
Type :
conf
DOI :
10.1109/ICCIA.2010.6141636
Filename :
6141636
Link To Document :
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