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
  • [41] Ant Colony Hyper-heuristics for Travelling Salesman Problem
    Abd Aziz, Zalilah
    2015 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS (IEEE IRIS2015), 2015, 76 : 534 - 538
  • [42] Evolutionary learning of selection hyper-heuristics for text classification
    Ramirez, Jonathan de Jesus Estrella
    Gomez, Juan Carlos
    APPLIED SOFT COMPUTING, 2023, 147
  • [43] Multi-objective fuzzy-based adaptive memetic algorithm with hyper-heuristics to solve university course timetabling problem
    Ghaffar, Abdul
    Sattar, Mian
    Munir, Mubbasher
    Qureshi, Zarmeen
    EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2022, 9 (04)
  • [44] Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems
    Vela, Alonso
    Cruz-Duarte, Jorge M.
    Carlos Ortiz-Bayliss, Jose
    Amaya, Ivan
    IEEE ACCESS, 2022, 10 : 43981 - 44007
  • [45] Collective Hyper-heuristics for Self-assembling Robot Behaviours
    Yu, Shuang
    Song, Andy
    Aleti, Aldeida
    PRICAI 2018: TRENDS IN ARTIFICIAL INTELLIGENCE, PT II, 2018, 11013 : 499 - 507
  • [46] Multi-arme d bandit-base d hyper-heuristics for combinatorial optimization problems
    Lagos, Felipe
    Pereira, Jordi
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 312 (01) : 70 - 91
  • [47] An urban transportation problem solved by parallel programming with hyper-heuristics
    Rodriguez, Diego A.
    Oteiza, Paola P.
    Brignole, Nelida B.
    ENGINEERING OPTIMIZATION, 2019, 51 (11) : 1965 - 1979
  • [48] Improving the Performance of Vector Hyper-heuristics through Local Search
    Carlos Ortiz-Bayliss, Jose
    Terashima-Marin, Hugo
    Enrique, Santiago
    Oezcan, Ender
    Parkes, Andrew J.
    PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2012, : 1269 - 1276
  • [49] Great Deluge Based Hyper-heuristics for Solving Real-world University Examination Timetabling Problem: New Data set and Approach
    Muklason, Ahmad
    Syahrani, Gusti Bagus
    Marom, Ahsanul
    FIFTH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE, 2019, 161 : 647 - 655
  • [50] Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes
    Lissovoi, Andrei
    Oliveto, Pietro S.
    Warwicker, John Alasdair
    EVOLUTIONARY COMPUTATION, 2020, 28 (03) : 437 - 461