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
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