摘要
为了更有效解决智能组卷问题,针对应用型本科院校《自动控制原理》课程特点,建立了试题库并提出一种简化数学模型。同时,为了改善单纯遗传算法在组卷过程中局部搜索能力差与早熟收敛问题,在组合遗传算法基础上,对精英策略进行改进,提出一种新算法。仿真实验结果表明,与单纯粒子群算法、单纯遗传算法及其改进算法相比,新算法具有明显的优势,有效克服了未成熟收敛现象,提高了算法收敛精度与速度,具有寻优能力强、稳定性好等优点。
To settle the problem of intelligent test paper generation more effectively, according to the characteristics of automatic control theory in application-oriented school, a test database and mathematical model for intelligent test paper generation is set up. Meanwhile, a new algorithm is proposed based on the hybrid genetic algorithm, by developing elitist strategy, in order to o vercome simple genetic algorithm detects of worse local searching ability and premature convergence. The simulation and experi- ment results show that the novel algorithm is superior to simple particle swarm optimization, simple genetic algorithm and its im proved algorithm it can overcome premature phenomena and improve the convergence precision and speed, has advantages such as excellent optimization ability and good stability.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第10期3970-3974,共5页
Computer Engineering and Design
基金
江苏省高校自然科学研究基金项目(09KJD120005)
江苏省现代教育技术研究课题基金项目(2012-R-21672)
关键词
智能组卷
自动控制原理
数学模型
遗传算法
早熟收敛
精英策略
Key words： intelligent test paper generation
automatic control theory
mathematical model
genetic algorithm
premature con-vergencel elitist strategy
