1 AIT Asian Institute of Technology

A genetic algorithm based approach for the course timetabling problem

AuthorNguyen Thi Thanh Thuy
Call NumberAIT Thesis no.CS-08-13
Subject(s)Genetic algorithms--Timetables

NoteA research study submitted in partial fulfillment o f the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. CS-08-13
AbstractOver 40 years, a wide variety of approaches towards timetabling problem have been investigated and developed. It is a classical, diversified and complex optimization problem, depending on constraints of each school. This thesis introduces a method combining genetic algorithm and different heuristic strategies to solve the course-timetabling problem in general, allowing one combination of classes, courses, and instructors takes many times per week. Scheduling is implemented on 2D matrix with proposed heuristic strategies to find the optimal allocation for each element. Heuristic algorithms are also experimented and evaluated on real and synthetic data.
Year2008
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. CS-08-13
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSComputer Science (CS)
Chairperson(s)Janecek, Paul
Examination Committee(s)Dailey, Matthew;Guha, Sumanta
Scholarship Donor(s)Asian Institute of Technology Fellowship
DegreeThesis (M.Sc.) - Asian Institute of Technology, 2008


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