Essentials of Constraint Programming
Essentials of Constraint Programming
Essentials of Constraint Programming
Essentials of Constraint Programming
Ant algorithms for the exam timetabling problem
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
Evolutionary algorithms using cluster patterns for timetabling
Intelligent Decision Technologies
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Constraint programming is mainly used to solve combinatorial problems such as scheduling and allocation, which are of vital importance to modern business. In this paper, we introduce the course and examination timetabling problems at the German University in Cairo. As manual generation of schedules is time-consuming and inconvenient, we show how these problems can be modeled as constraint satisfaction problems and can be solved using SICStus Prolog with its powerful constraint library.