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Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems

Burke, Edmund; Dror, Moshe; Petrovic, Sanja; Qu, Rong

Authors

Edmund Burke

Moshe Dror

Sanja Petrovic

Rong Qu



Contributors

B.L. Golden
Editor

S. Raghavan
Editor

E.A. Wasil
Editor

Abstract

This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems. Hyper-heuristics can be seen as algorithms which intelligently select appropriate algorithms/heuristics for solving a problem. We developed a Tabu Search based hyper-heuristic to search for heuristic lists (of graph heuristics) for solving problems and investigated the heuristic lists found by employing knowledge discovery techniques. Two hybrid approaches (involving Saturation Degree and Largest Degree) including one which employs Case Based Reasoning are presented and discussed. Both the Tabu Search based hyper-heuristic and the hybrid approaches are tested on random and real-world exam timetabling problems. Experimental results are comparable with the best state-of-the-art approaches (as measured against established benchmark problems). The results also demonstrate an increased level of generality in our approach.

Publication Date Jan 1, 2005
Peer Reviewed Peer Reviewed
Book Title The Next Wave in Computing, Optimization, and Decision Technologies
APA6 Citation Burke, E., Dror, M., Petrovic, S., & Qu, R. (2005). Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems. In S. Raghavan, B. Golden, & E. Wasil (Eds.), The Next Wave in Computing, Optimization, and Decision TechnologiesSpringer
Keywords case based reasoning, exam timetabling problems, graph heuristics, hyperheuristics,knowledge discovery, tabu search
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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