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基于改进遗传算法的智能组卷研究

许永达

计算机与数字工程2013,Vol.41Issue(2):176-178,207,4.
计算机与数字工程2013,Vol.41Issue(2):176-178,207,4.

基于改进遗传算法的智能组卷研究

An Intelligent Generating Examination Paper Method Based on Improved Genetic Algorithm

许永达1

作者信息

  • 1. 湛江师范学院信息与教育技术中心 湛江524048
  • 折叠

摘要

Abstract

The traditional Generating Examination Paper method has disadvantages of large time and space consumption, and low success rate. The simple generic algorithm has disadvantages of slow convergence speed and poor stability. So an intelligent test construction method based on improved generic algorithm is proposed. The intelligent method adaptivety selects individuals and adjusts the crossover and mutation probabilities based on individual fitness, which accelerates approximation speed to the optimal solution and improves the efficiency and success rate. This paper will introduce the test construction strategies, mathematical model, and the detailed design of each module.

关键词

改进遗传算法/智能组卷/自适应

Key words

improved genetic algorithm/ intelligent generating examination paper/ adaptive

分类

信息技术与安全科学

引用本文复制引用

许永达..基于改进遗传算法的智能组卷研究[J].计算机与数字工程,2013,41(2):176-178,207,4.

计算机与数字工程

1672-9722

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