计算机与数字工程Issue(10)：1842-1848,1903,8.DOI:10.3969/j.issn1672-9722.2014.10.022
基于云优化遗传算法的自动组卷技术研究磁
Automatic Generation Cloud Optimization Based on Genetic Algorithm
摘要
Abstract
Aiming at the defects that the traditional genetic algorithm convergence speed ,stability is poor ,based on the concept of cloud computing algorithm ,examination system for genetic algorithm is proposed .The algorithm uses the ran-domness and the tendency of the normal cloud model ,individual choice for the adjustment of genetic algorithm with dynamic fitness value and the crossover probability and mutation probability ,to speed up the algorithm convergence to the optimal so-lution ,can be in the test database according to the test question types ,quantity ,visibility constraints for rapid search ,sys-tem through selection ,crossover and mutation operation ,automatically search from the test database and organize a number of different types ,different sections ,different difficulty range the database to form a set of best papers ,to realize fast auto-matic test paper .关键词
云优化/遗传算法/自动组卷/试题管理Key words
cloud optimization/genetic algorithm/automatic test/test management分类
信息技术与安全科学引用本文复制引用
邹臣嵩..基于云优化遗传算法的自动组卷技术研究磁[J].计算机与数字工程,2014,(10):1842-1848,1903,8.基金项目
广东松山职业技术学院技术应用重点课题（编号2012-JYKY-19）资助。 （）
