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Late acceptance hill-climbing for high school timetabling

Author

Listed:
  • George H. G. Fonseca

    (Federal University of Minas Gerais)

  • Haroldo G. Santos

    (Federal University of Ouro Preto)

  • Eduardo G. Carrano

    (Federal University of Minas Gerais)

Abstract

The application of the Late Acceptance Hill-Climbing (LAHC) to solve the High School Timetabling Problem is the subject of this manuscript. The original algorithm and two variants proposed here are tested jointly with other state-of-art methods to solve the instances proposed in the Third International Timetabling Competition. Following the same rules of the competition, the LAHC-based algorithms noticeably outperformed the winning methods. These results, and reports from the literature, suggest that the LAHC is a reliable method that can compete with the most employed local search algorithms.

Suggested Citation

  • George H. G. Fonseca & Haroldo G. Santos & Eduardo G. Carrano, 2016. "Late acceptance hill-climbing for high school timetabling," Journal of Scheduling, Springer, vol. 19(4), pages 453-465, August.
    • Handle: RePEc:spr:jsched:v:19:y:2016:i:4:d:10.1007_s10951-015-0458-5
    DOI: 10.1007/s10951-015-0458-5
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    References listed on IDEAS

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    1. Gerhard Post & Jeffrey Kingston & Samad Ahmadi & Sophia Daskalaki & Christos Gogos & Jari Kyngas & Cimmo Nurmi & Nysret Musliu & Nelishia Pillay & Haroldo Santos & Andrea Schaerf, 2014. "XHSTT: an XML archive for high school timetabling problems in different countries," Annals of Operations Research, Springer, vol. 218(1), pages 295-301, July.
    2. Tomáš Müller, 2009. "ITC2007 solver description: a hybrid approach," Annals of Operations Research, Springer, vol. 172(1), pages 429-446, November.
    3. Haroldo Santos & Eduardo Uchoa & Luiz Ochi & Nelson Maculan, 2012. "Strong bounds with cut and column generation for class-teacher timetabling," Annals of Operations Research, Springer, vol. 194(1), pages 399-412, April.
    4. Arnaldo Vieira Moura & Rafael Augusto Scaraficci, 2010. "A GRASP strategy for a more constrained School Timetabling Problem," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 7(2), pages 152-170.
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    Cited by:

    1. Saviniec, Landir & Santos, Maristela O. & Costa, Alysson M., 2018. "Parallel local search algorithms for high school timetabling problems," European Journal of Operational Research, Elsevier, vol. 265(1), pages 81-98.

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