Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm

In this paper, we introduce a new Happiness parameter along with Genetic Algorithm for generating course timetable. This happiness parameter will generate appropriately feasible solution and account for the comfort and happiness of the instructor and students both (indicating the appropriateness of the resulting solution). The final result obtained from this approach shows that the solution space is reduced considerably and hence a feasible solution is obtained. Using this parameter, it can also be analysed that the solution obtained from Genetic Algorithm without Happiness Parameter are unfavourable most of the times. We perform experiments on data of Department of Computer Engineering, G.B. Pant University of Agriculture and Technology, Pantnagar and are able to produce promising results.