A review of hyper-heuristics for educational timetabling

被引:53
|
作者
Pillay, Nelishia [1 ]
机构
[1] Univ KwaZulu Natal, Sch Math Stat & Comp Sci, Pietermaritzburg, South Africa
关键词
Hyper-heuristics; Educational timetabling; University examination timetabling; University course timetabling; School timetabling; SELECTION; FRAMEWORK;
D O I
10.1007/s10479-014-1688-1
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Educational timetabling problems, namely, university examination timetabling, university course timetabling and school timetabling, are combinatorial optimization problems requiring the allocation of resources so as to satisfy a specified set of constraints. Hyper-heuristics have been successfully applied to a variety of combinatorial optimization problems. This is a rapidly growing field which aims at providing generalized solutions to combinatorial optimization problems by exploring a heuristic space instead of a solution space. From the research conducted thus far it is evident that hyper-heuristics are effective at solving educational timetabling problems and have the potential of advancing this field by providing a generalized solution to educational timetabling as a whole. Given this, the paper provides an overview and critical analysis of hyper-heuristics for educational timetabling and proposes future research directions, focusing on using hyper-heuristics to provide a generalized solution to educational timetabling.
引用
收藏
页码:3 / 38
页数:36
相关论文
共 50 条
  • [1] A review of hyper-heuristics for educational timetabling
    Nelishia Pillay
    Annals of Operations Research, 2016, 239 : 3 - 38
  • [2] Monte Carlo hyper-heuristics for examination timetabling
    Edmund K. Burke
    Graham Kendall
    Mustafa Mısır
    Ender Özcan
    Annals of Operations Research, 2012, 196 : 73 - 90
  • [3] Monte Carlo hyper-heuristics for examination timetabling
    Burke, Edmund K.
    Kendall, Graham
    Misir, Mustafa
    Ozcan, Ender
    ANNALS OF OPERATIONS RESEARCH, 2012, 196 (01) : 73 - 90
  • [4] Effective learning hyper-heuristics for the course timetabling problem
    Soria-Alcaraz, Jorge A.
    Ochoa, Gabriela
    Swan, Jerry
    Carpio, Martin
    Puga, Hector
    Burke, Edmund K.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 238 (01) : 77 - 86
  • [6] A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems
    Sanchez, Melissa
    Cruz-Duarte, Jorge M.
    Carlos Ortiz-Bayliss, Jose
    Ceballos, Hector
    Terashima-Marin, Hugo
    Amaya, Ivan
    IEEE ACCESS, 2020, 8 : 128068 - 128095
  • [7] Hyper-heuristics: a survey of the state of the art
    Burke, Edmund K.
    Gendreau, Michel
    Hyde, Matthew
    Kendall, Graham
    Ochoa, Gabriela
    Oezcan, Ender
    Qu, Rong
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2013, 64 (12) : 1695 - 1724
  • [8] Hyper-heuristics: A survey and taxonomy
    Dokeroglu, Tansel
    Kucukyilmaz, Tayfun
    Talbi, El-Ghazali
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 187
  • [9] A genetic programming approach to the generation of hyper-heuristics for the uncapacitated examination timetabling problem
    Pillay, Nelishia
    Banzhaf, Wolfgang
    PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4874 : 223 - +
  • [10] Solving high school timetabling problems worldwide using selection hyper-heuristics
    Ahmed, Leena N.
    Oezcan, Ender
    Kheiri, Ahmed
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (13) : 5463 - 5471