计算机与现代化Issue(5)：152-156,5.DOI:10.3969/j.issn.1006-2475.2012.05.043
基于改进自适应遗传算法的智能组卷算法
Algorithm of Composing Test Paper Based on Improved Self-adaption Genetic Algorithm
摘要
Abstract
Traditional algorithms of composing test paper have the disadvantages of slow convergence, low success rate and quality. To solve these problems, an algorithm based on improved adaptive genetic algorithm is proposed. Both the theoretical analysis and the experimental comparison show that improved genetic algorithm can satisfy the needs for actual examinations. Improved genetic algorithm can obviously improve the ability of global research, the convergence speed and the quality than tradition genetic algorithm and self-adaption genetic algorithm. It proves that the improved algorithm is effective and superior.关键词
组卷算法/遗传算法/自适应/收敛速度/题库系统Key words
composing test paper algorithm/ genetic algorithm/ sell-adaption/ convergence speed/ item bank system分类
信息技术与安全科学引用本文复制引用
宫磊,赵方..基于改进自适应遗传算法的智能组卷算法[J].计算机与现代化,2012,(5):152-156,5.
