DocumentCode
3216492
Title
Applied research on quantum particle swarm algorithm in autogenerating test paper
Author
Xin-ran, Li ; Yan-xia, Jin
Author_Institution
Coll. of Comput. Sci. & Technol., North Univ. of China, Taiyuan, China
Volume
4
fYear
2011
fDate
29-31 July 2011
Abstract
In view of the low efficiency problem of extensively used genetic algorithm in large amount test code algorithm, this paper uses quantum particle swarm algorithm method to solve integer programming. Setting proper parameters and limiting the type and scope of particle position formula, this algorithm can solve large amount test code autogenerating problems. Experiments applying this algorithm have testified that it has stronger optimal ability and speed and better feasibility.
Keywords
genetic algorithms; integer programming; particle swarm optimisation; program compilers; autogenerating test paper; genetic algorithm; integer programming; particle position formula; quantum particle swarm algorithm; test code algorithm; Optimization; Autogenerating test paper; Exam Paper Generating Algorithm; Multi-Objective Optimization; Particle Swarm Optimization; Quantum-behaved Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-61284-275-2
Type
conf
DOI
10.1109/ICEOE.2011.6013526
Filename
6013526
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