Title
An improved multi-staged algorithmic process for the solution of the examination timetabling problem
Abstract
The efficient creation of examination timetables is a recurring and important problem for universities worldwide. Good timetables typically are characterized by balanced distances between consecutive exams for all students. In this contribution an approach for the examination timetabling problem as defined in the second International Timetabling Competition (http://www.cs.qub.ac.uk/itc2007/) is presented. The solution approach is managed on the top level by GRASP (Greedy Randomized Adaptive Search Procedure) and it involves several optimization algorithms, heuristics and metaheuristics. A construction phase is executed first producing a relatively high quality feasible solution and an improvement phase follows that further ameliorates the produced timetable. Each phase consists of stages that are consumed in a circular fashion. The procedure produces feasible solutions for each dataset provided under the runtime limit imposed by the rules of the ITC07 competition. Results are presented and analyzed.
Year
DOI
Venue
2012
10.1007/s10479-010-0712-3
Annals of Operations Research
Keywords
Field
DocType
Metaheuristics,GRASP,Simulated annealing,Kempe chains,Integer programming
Simulated annealing,Mathematical optimization,GRASP,Computer science,Integer programming,Heuristics,Schedule,Greedy randomized adaptive search procedure,Timetabling problem,Metaheuristic
Journal
Volume
Issue
ISSN
177
1
0254-5330
Citations 
PageRank 
References 
25
0.83
25
Authors
3
Name
Order
Citations
PageRank
Christos Gogos1806.25
Panayiotis Alefragis212014.33
Efthymios Housos321914.71