Solving the timetabling problem with simulated annealing
Enterprise information systems
The Complexity of Timetable Construction Problems
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Off-the-Peg or Made-to-Measure? Timetabling and Scheduling with SA and TS
PATAT '97 Selected papers from the Second International Conference on Practice and Theory of Automated Timetabling II
Multicriteria Optimization
A Nonlinear Cone Separation Theorem and Scalarization in Nonconvex Vector Optimization
SIAM Journal on Optimization
A direct barter model for course add/drop process
Discrete Applied Mathematics
Computing efficient solutions of nonconvex multi-objective problems via scalarization
GAVTASC'11 Proceedings of the 11th WSEAS international conference on Signal processing, computational geometry and artificial vision, and Proceedings of the 11th WSEAS international conference on Systems theory and scientific computation
Solution approaches to the course timetabling problem
Artificial Intelligence Review
A conic scalarization method in multi-objective optimization
Journal of Global Optimization
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A faculty-course-time slot assignment problem is studied. The multiobjective 0-1 linear programming model considering both the administration's and instructors' preferences is developed and a demonstrative example is included. Both modeling and solving such problems are difficult tasks due to the size, the varied nature, and conflicting objectives of the problems. The difficulty increases because the individuals involved in the problem may have different preferences related to the instructors, courses, and time slots. The Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are used to weigh different and conflicting objectives. These weights are used in different scalarization approaches. The scalarized problems are solved using a standard optimization package, and solutions corresponding to the AHP and ANP weights are compared.