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
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;
Conference_Titel :
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-61284-275-2
DOI :
10.1109/ICEOE.2011.6013526