DocumentCode
3282931
Title
A hybrid Grasp and Scatter Search for the exam timetabling problem
Author
Hadjidj, Drifa ; Drias, Habiba
Author_Institution
Dept. d´´Inf., Univ. M´´hamed Bougara, Boumerdès, Algeria
fYear
2010
fDate
3-5 Oct. 2010
Firstpage
297
Lastpage
302
Abstract
In this paper we describe a new hybrid evolutionary algorithm and its implementation for the NP hard exam timetabling problem. This approach uses the good features of the Greedy Randomized Adaptive Search Procedure (GRASP) and the evolutionary Scatter Search (SS) approach which uses strategies for search diversification and intensification to maintain and evolve a population of solutions. New solutions are improved before replacing others according to their quality and diversity. The implementation of the algorithm has been experimented on the popular Carter´s benchmarks and compared with the best recent results.
Keywords
computational complexity; education; evolutionary computation; search problems; Carter benchmarks; NP hard exam timetabling problem; evolutionary scatter search approach; greedy randomized adaptive search procedure; hybrid evolutionary algorithm; Benchmark testing; Cognition; Diversity reception; Logic programming; Schedules; Search problems; Exam timetabling; GRASP; evolutionary; graph heuristics; greedy randomized adaptive search procedure; meta-heuristic; scatter search;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location
Algiers
Print_ISBN
978-1-4244-8608-3
Type
conf
DOI
10.1109/ICMWI.2010.5648136
Filename
5648136
Link To Document