Vol. 4 (02) pp. 300-304

Genetic Algorithm With Meta- Heuristic Approach For Generating Timetable

  • Dept. of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India.
  • Dept. of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India.
  • Dept. of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India.
  • Dept. of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India.
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Abstract

Timetable creation is very burdening and time consuming task. Scheduling course timetables for a large array of courses is very complicated problem which often has to be solved by the center staff manually even though the result are not always satisfying. In this paper Genetic Algorithm along with heuristic approach is used to schedule timetable which includes various entities of university such as rooms, curriculum, teachers, time on which a local search is performed and it also ensures that fundamental constraints are not violated. Genetic Algorithm are heuristic search algorithm which is based on the ideas of natural selection. The algorithm repeatedly mutates a population of individual solutions. In each step, the algorithm calculates the fitness function of every individual and selects them randomly from the population to produce children for the next generation. Every successive generation drives towards an optimal solution.

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How to Cite This Article

Anam Shaikh, Tazeen Ansari, Faizan Baig and Anand Bali. (2016); Genetic Algorithm With Meta- Heuristic Approach For Generating Timetable, Int. J. of Adv. Res., 4 (02), 300-304, ISSN 2320-5407.

Corresponding Author

Baig Faizan