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IJML 2012 Vol.2(4): 492-495
doi: 10.7763/IJMLC.2012.V2.174

An Algorithm to Automatically Generate Schedule for School Lectures Using a Heuristic Approach

Anirudha Nanda , Manisha P. Pai , Abhijeet Gole

  • Departmnent of Computer Science, Ramnarain Ruia College, Mumbai, India.

Abstract

This paper proposes a general solution for the School timetabling problem. Most heuristic proposed earlier approaches the problem from the students’ point of view. This solution, however, works from the teachers’ point of view i.e. teacher availability for a given time slot. While all the hard constraints (e.g. the availability of teachers, etc.) are resolved rigorously, the scheduling solution presented in this paper is an adaptive one, with a primary aim to solve the issue of clashes of lectures and subjects, pertaining to teachers.

Keywords

  • time tabling
  • scheduling
  • operational research
  • artificial intelligence
  • heuristic
174-L031

How to Cite

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Anirudha Nanda, Manisha P. Pai, and Abhijeet Gole, "An Algorithm to Automatically Generate Schedule for School Lectures Using a Heuristic Approach," International Journal of Machine Learning, vol. 2, no. 4, pp. 492-495, 2012. https://doi.org/10.7763/IJMLC.2012.V2.174

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD