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EVOW
2009
Springer

University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study

10 years 4 months ago
University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study
Abstract. This paper describes the application of a hybrid genetic algorithm to a real-world instance of the university course timetabling problem. We address the timetabling of laboratory exercises in a highly constrained environment, for which a formal definition is given. Solution representation technique appropriate to the problem is defined, along with associated genetic operators and a local search algorithm. The approach presented in the paper has been successfully used for timetabling at the authors’ institution and it was capable of generating timetables for complex problem instances.
Zlatko Bratkovic, Tomislav Herman, Vjera Omrcen, M
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where EVOW
Authors Zlatko Bratkovic, Tomislav Herman, Vjera Omrcen, Marko Cupic, Domagoj Jakobovic
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