International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 12, December 2014 Edition [ISSN 2250-3153]


A Timetable Prediction for Technical Educational System Using Genetic Algorithm – An Over View
      Asif Ansari, Prof Sachin Bojewar
Abstract: In this paper we glance through the various approaches used by the researchers to develop an automatic timetable using Genetic algorithms. The optimized genetic algorithm can be used with the heuristic approach to design and develop the timetable of an institute. At stake during the process of development, the stakeholders are the professors and the students. The efficient utilization of the infrastructure is the main aim of the authors. The crossover, mutation and the fitness function is to be calculated for the implementation. In genetic algorithm every individual are characterized by a fitness function. After analysis if there is higher fitness then it means better solution and then after based on their fitness, parents are selected to reproduce offspring for a new generation where fitter individuals have more chance to reproduce. The objective of the work is to create a model used to generate the acceptable schedule using probabilistic operators

Reference this Research Paper (copy & paste below code):

Asif Ansari, Prof Sachin Bojewar (2018); A Timetable Prediction for Technical Educational System Using Genetic Algorithm – An Over View; Int J Sci Res Publ 4(12) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1214.php?rp=P363472
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