Multi Objective Time Table Scheduling Using Genetic Algorithm

Abstract

Scheduling the class periods using traditional methods like using online spreadsheets is complex and time consuming. The complexity increases with multiple subject, student and teachers as the requirements become more complex. It is difficult to manage subjects with multiple teachers or forming student groups and assigning teachers. In addition, priority of subjects or teachers, class hours are not considered for scheduling. Class scheduling using genetic algorithm, has been developed to schedule class rooms considering various resources and parameters. The proposed algorithm accepts various parameters like priority values for teachers and subjects or class hours and give the best solution. Our new system makes the classroom scheduling easier and also reduce the time required for scheduling.