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基于遗传算法的排课问题分析与研究

Analysis and Research on Course Arrangement Based on Genetic Algorithm
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摘要 排课问题是多目标整合优化问题,即时间表问题。经过人们多年的研究,最终遗传算法在排课系统的理论研究与实践应用中都取得了很大的成就。基于此,笔者分析了基于遗传算法求解排课问题的最优解,首先分析了排课问题的基本因素,进而建立了数学建模,最后通过选择、交叉和变异等过程和仿真实验进而说明并获得最优解。 Scheduling problem is a multi-objective integration optimization problem,that is,schedule problem.After many years of research,genetic algorithm has made great achievements in the theoretical research and practical application of the scheduling system,.Based on this,this paper analyzes the optimal solution of the scheduling problem based on genetic algorithm.Firstly,the basic factors of course arrangement are analyzed,and then the mathematical model is established.Finally,the fitness function is designed,and the optimal solution is obtained through selection,crossover and variation processes and simulation experiments.
作者 李菲 何雪翠 Li Fei;He Xuecui(School of Mathematics and Statistics,Yulin Normal University,Yulin Guangxi 537000,China)
出处 《信息与电脑》 2019年第21期56-58,61,共4页 Information & Computer
关键词 遗传算法 排课问题 适应度函数 genetic algorithm the problem of course arrangement fitness function
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  • 1Adewumi A O, Sawyerr B A, Montaz A M.A heuristic solution to the university timetabling problem[J].Eugineering Computations, 2009,26 (8) : 972-984.
  • 2Aladag C H, Hocaoglu G, Basaran M A.The effect of neighborhood structures on tabu search algorithm in solving course time- tabling problem[J].Expert Systems with Applications, 2009, 36 (10) : 12349-12356.
  • 3Detierme B, Peridy L, Pinson E.Cut generation for an employee timetabling problem[J].European Journal of Operational Research,2009,197(3):1178-1184.
  • 4Pillay N, Banzhaf W.A study of heuristic combinations for hyper-heuristic systems for the uncapacitatcd examination timetabling problcm[J].European Journal of Operational Research, 2009,197(2) :482-491.
  • 5Lee Yusin, Chen Chuen-Yi.A heuristic for the train pathing and timetabling problem[J].Transportation Research Part B: Methodologieal, 2009,43 (9) : 837-851.
  • 6Zhang Defu, Liu Yongkai, Hallah R M.A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems[J].European Journal of Operational Research, 2010,203 (3) : 550-558.
  • 7Anmar A, Masr A.Multi-neighbourhood particle collision algorithm for solving course timetabling problems[C]//Proc of 2009 2nd Conference on Data Mining and Optimization, Selangor, Malaysia, 2009: 21-27.
  • 8Guyon O,Lemaire P,PinsonE.Cut generation for an integrated employee timetabling and production scheduling problem[J].European Journal of Operational Research,2010,201(2):557-567.
  • 9Pillay N, Banzhaf W.An informed genetic algorithm for the examination timetabling problem[J].Applied Soft Computing, 2010,10(2) :457-467.
  • 10A O Adewumi, B A Sawyerr, A M Montaz. A heuristic solution to the university timetabling problem[ J]. Engineering Computations, 2009,26 ( 8 ) :972 - 984.

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