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基于遗传算法的大学课程表问题研究 被引量:3

Research on the University Timetable Problem Based on Genetic Algorithm
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摘要 课程表问题是时间表问题之一 ,也是 NP难问题 .根据大学授课形式的特点建立了大学课程表问题的数学模型 ,给出了求解该问题的遗传算法 .根据模型和大学课程表问题的特点设计了一种全新的编码 ,提出了一种新形式的交叉方式 .实验结果表明该方法是可行和有效的 . University timetable problem is one of the timetable problem and also a NP hard one. This paper analyzes characterizes and then constructs the mathematical model of university timetable problem. A genetic algorithm for the problem is given. A new encoding method and a new crossover operation used in genetic algorithm are provided. The experiment results show that this procedure is infeasible and effective.
出处 《数学的实践与认识》 CSCD 北大核心 2004年第6期82-88,共7页 Mathematics in Practice and Theory
关键词 大学课程表问题 数学模型 遗传算法 NP难问题 时间表问题 university timetable problem mathematical model genetic algorithm NP hard problem
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参考文献9

  • 1Even S, Ital A Shamir A. On the complexity of timetable and multi-commodity flow problems[J]. SIAM Journal on Computing, 1976, 5(4): 691-703.
  • 2Tripathy A. School timetabling-a case in large binary integer linear programming [J]. Discrete Applied Mathematics, 1984, 35(3): 313-323.
  • 3Burk E K, Elliman D G, Weare R F. A university timetabling system based on graph coloring and constraint manipulation[J]. Journal of Research on Computing in Education, 1994, 27(1): 1-18.
  • 4Kowalczyk R. Combining constraint programming and evolutionary algorithms in constrained decision optimization problems[A]. Proceeding of the 1997 International Conference on Neutral Information Processing and Intelligent Information Systems[C]. Dunedin, New Zealand: 1997. 826-829.
  • 5Sigeru O. Incorporating Constraint Propagation in Genetic Algorithm for University Timetable Planning[M].Engineering Applications of Artificial Intelligence, 1999. 241-253.
  • 6Colorni A, Dorigo M, Maniezzo V. Genetic algorithm and highly constrained problems: the timetable case[J].Lecture Notes in Computer Science, 1991, (496): 55-59.
  • 7Colorni A, Dorigo M, Maniezzo V. Meta-heuristics for high school timetabling[J]. Computational Optimization and Applications, 1998, (9): 275-298.
  • 8Paechter B, Luchian H, Petruic M. Two solutions to the general timetable problem using evolutionary methods[A]. Proceedings of the 1st International Conference on Evolutionary Computation[C]. Orlando, USA: IEEE Press, 1994. 300-305.
  • 9Burke E K, Newall J P. A phased evolutionary approach for the timetable problem[A]. Proceedings of the 1997International Conference on Neural Information Processing and Intelligent Information Systems[C]. 1997. 1038-1041.

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