Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (5): 217-220.

• 工程与应用 • Previous Articles     Next Articles

Research on University Timetabling Problem based on three-dimensional immune GA

ZHANG Xueping1, ZHU?Haodong2,3, WU Hongli1   

  1. 1.College of Information Science and Technology, Hainan Normal University, Haikou 571158, China
    2.School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
    3.Chengdu Institute of Computer Applications, Chinese Academy of Sciences, Chengdu 610041, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-11 Published:2012-02-11

基于三维免疫遗传算法的高校排课问题研究

张学平1,朱颢东2,3,吴洪丽1   

  1. 1.海南师范大学 信息科学技术学院,海口 571158
    2.郑州轻工业学院 计算机与通信工程学院,郑州 450002
    3.中国科学院 成都计算机应用研究所,成都 610041

Abstract: University Timetabling Problem(UTP) is analyzed detailedly. An optimization mathematical model of UTP is established. The framework structure to solve UTP is founded. According to characteristics of UTP, GA is introduced. A variety of improved schemes are designed, which include:three-dimensional code scheme, initial population design scheme, fitness function design scheme, immunization strategy, adaptive crossover probability and adaptive mutation probability design scheme. Simulation results show that the proposed GA can satisfy multiple constraint conditions and resolve UTP more effectively.

Key words: University Timetabling Problem, Genetic Algorithm(GA), three-dimensional code, immunization strategy

摘要: 深入分析了高校排课问题,建立了其数学优化模型,构建了它的基本求解框架。针对高校排课问题的特点,引入遗传算法来加以解决,设计了多种改进方案,包括:三维编码方案、初始种群生成方案、适应度函数设计方案、免疫策略、自适应交叉概率和自适应变异概率设计方案。仿真结果表明该算法能够满足高校排课问题的多重约束条件,能更有效地解决高校排课问题。

关键词: 高校排课问题, 遗传算法, 三维编码, 免疫策略