On Improvement of Effectiveness in Automatic University Timetabling Arrangement with Applied Genetic Algorithm

Abstract

Arranging university course’s timetable is problematic. It differs from other timetabling problems in terms of conditions. A complete university timetable must reach several requirements involving students, subjects, lecturers, classes, laboratory’s equipments, etc. This paper proposes a genetic algorithm model applied for improving… (More)

Topics

6 Figures and Tables

Slides referencing similar topics