›› 2016, Vol. 29 ›› Issue (5): 127-.

• 论文 • 上一篇    下一篇

基于改进遗传算法的高校排课优化问题研究

李阳,张欣   

  1. (贵州大学 大数据与信息工程学院,贵州 贵阳 550025)
  • 出版日期:2016-05-15 发布日期:2016-05-24
  • 作者简介:李阳(1989—),男,硕士研究生。研究方向:移动通信技术。张欣(1976—),男,博士,副教授,硕士生导师。研究方向:下一代无线通信及应用等。

Arrangement and Optimization of College Curriculum Schedule by Improved Genetic Algorithm

LI Yang,ZHANG Xin   

  1. (Big Data and Information Engineering College,Guizhou University,Guiyang 550025,China)
  • Online:2016-05-15 Published:2016-05-24

摘要:

针对高校排课工作量大等问题,提出了基于改进遗传算法的课表优化方案。以教学任务为基因进行编码,总课表(行为时间段,列为班级)为DNA随机产生若干个满足强制规则的初始种群,将遗传算法中的随机交叉改进为局部列完整交叉算法,随机变异改进为列内部随机互换算法,并通过若干代的迭代优化,促使最终生成一个科学合理的排课方案。实验仿真表明,课表适应度由最初的76.0提升至123.0,优化效果显著。

关键词: 排课, 优化, 改进遗传算法

Abstract:

In order to solve the problem of the large amount of work multi condition and high complexity in the course of the college arrangement,we propose a schedule optimization scheme based on the improved genetic algorithm with the teaching mission and total schedule as the gene and DNA,respectively and the initial population randomly generated to meet the mandatory rules for the DNA.Some improvements of the genetic algorithm are discussed,including changing random cross column to be a local full cross algorithm,and random mutation to be random swap algorithm for the inside of column.The final form of a scientific and rational arrangement plan is obtained through several generations of iterative optimization.Experiment results show that the fitness schedule increases from 76 to 123,indicating a good optimization effect.

Key words: course scheduling;optimization;improved genetic algorithm

中图分类号: 

  • TP391