A multiobjective framework for heavily constrained examination timetabling problems

Mumford, Christine Lesley ORCID: https://orcid.org/0000-0002-4514-0272 2010. A multiobjective framework for heavily constrained examination timetabling problems. Annals of Operations Research 180 (1) , pp. 3-31. 10.1007/s10479-008-0490-3

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Abstract

University examination timetabling is a challenging set partitioning problem that comes in many variations, and real world applications usually carry multiple constraints and require the simultaneous optimization of several (often conflicting) objectives. This paper presents a multiobjective framework capable of solving heavily constrained timetabling problems. In this prototype study, we focus on the two objectives: minimizing timetable length while simultaneously optimizing the spread of examinations for individual students. Candidate solutions are presented to a multiobjective memetic algorithm as orderings of examinations, and a greedy algorithm is used to construct violation free timetables from permutation sequences of exams. The role of the multiobjective algorithm is to iteratively improve a population of orderings, with respect to the given objectives, using various mutation and reordering heuristics.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software
Additional Information:	From the issue entitled "Computational Intelligence and Scheduling."
Publisher:	Springer Verlag
ISSN:	0254-5330
Last Modified:	18 Oct 2022 13:31
URI:	https://orca.cardiff.ac.uk/id/eprint/14178

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