Interactive timetabling system using knowledge-based genetic algorithms

This paper discusses a new solution to university course timetabling problems. Problems that belong to the NP-hard class are very difficult to solve using conventional optimization techniques. Our solution methodology is based on genetic algorithms which use an installed knowledge base. The knowledg... View More