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Design of GAmut-Lssahc: a solver for course timetabling problem

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  • M. Nandhini
  • S. Kanmani

Abstract

In this paper, the problem of course timetabling is studied extensively and its constraints are represented using mathematical representation. Analysing the existing GA-based methodologies for solving University Course Timetabling problem, a new method has been proposed probably, which has not yet been attempted for this problem. It employs GA with a variety of proposed MUTation operators (Random-Selection; Adaptive; Goal-Directed) and Local Search of Steepest Ascent Hill Climbing (GAmut-LSsahc) to increase the fitness value and could produce optimal course timetable at the earliest. It was experimentally proved that goal-directed converges 6% faster than adaptive and 10% faster than random-selection mutation.

Suggested Citation

  • M. Nandhini & S. Kanmani, 2011. "Design of GAmut-Lssahc: a solver for course timetabling problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 3(6), pages 595-618.
    • Handle: RePEc:ids:ijmore:v:3:y:2011:i:6:p:595-618
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