A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem
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- @InProceedings{conf/epia/PillayB07,
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author = "Nelishia Pillay and Wolfgang Banzhaf",
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title = "A Genetic Programming Approach to the Generation of
Hyper-Heuristics for the Uncapacitated Examination
Timetabling Problem",
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booktitle = "13th Portuguese Conference on Aritficial Intelligence,
EPIA 2007",
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year = "2007",
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editor = "Jos{\'e} Neves and Manuel Filipe Santos and
Jos{\'e} Machado",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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pages = "223--234",
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address = "Guimar{\~a}es, Portugal",
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month = dec # " 3-7",
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keywords = "genetic algorithms, genetic programming,
hyper-heuristics, examination timetabling",
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isbn13 = "978-3-540-77000-8",
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URL = "http://www.cs.mun.ca/~banzhaf/papers/epia.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.2636",
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DOI = "doi:10.1007/978-3-540-77002-2_19",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Research in the field of examination timetabling has
developed in two directions. The first looks at
applying various methodologies to induce examination
timetables. The second takes an indirect approach to
the problem and examines the generation of heuristics
or combinations of heuristics, i.e. hyper-heuristics,
to be used in the construction of examination
timetables. The study presented in this paper focuses
on the latter area. This paper presents a first attempt
at using genetic programming for the evolution of
hyper-heuristics for the uncapacitated examination
timetabling problem. The system has been tested on 9
benchmark examination timetabling problems. Clash-free
timetables were found for all 9 nine problems.
Furthermore, the performance of the genetic programming
system is comparable to, and in a number of cases has
produced better quality timetables, than other search
algorithms used to evolve hyper-heuristics for this set
of problems.{"}, bibsource = {"}OAI-PMH server at
citeseerx.ist.psu.edu",
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notes = "Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI,
CMBSB, IROBOT, MASTA, STCS, and TEMA",
- }
Genetic Programming entries for
Nelishia Pillay
Wolfgang Banzhaf
Citations