计算机与数字工程2017，Vol.45Issue(6)：1055-1057,1110,4.DOI:10.3969/j.issn.1672-9722.2017.06.009
一种基于改进差分算法的智能组卷方法
An Intelligent Test Paper Generation Method Based on Improved Differential Algorithm
江龙 1曹俊豪 1陈祖恩 1张德刚1
作者信息
- 1. 云南电网公司教育培训评价中心 昆明 650000
- 折叠
摘要
Abstract
Intelligent generating test paper is a typical multi constrained combinatorial optimization problem. The user sets a number of qualified conditions for the paper. The system gives the optimal combination of test questions to meet the constraints. In line with the actual test paper model and efficient algorithm is the key to ensure the quality of the test paper. According to the actual demand of China Southern Power Grid test,for the differential algorithm premature convergence,and easy convergence to the local optimum problem,proposes a search database to generate the initial population by uniform,according to the value of the population to adapt to the dynamic fine-tuning of the mutation rate and crossover rate. Experiments show that the improved differential algo?rithm still has a good global optimization ability in the face of massive test questions,which has a high quality of the test paper and the efficiency.关键词
智能组卷/差分进化/智能优化Key words
intelligent generating test paper/differential evolution/intelligent optimization分类
信息技术与安全科学引用本文复制引用
江龙,曹俊豪,陈祖恩,张德刚..一种基于改进差分算法的智能组卷方法[J].计算机与数字工程,2017,45(6):1055-1057,1110,4.
