Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
Created by W.Langdon from
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- @Article{journals/memetic/Bader-El-DenPF09,
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title = "Evolving timetabling heuristics using a grammar-based
genetic programming hyper-heuristic framework",
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author = "Mohamed Bahy Bader-El-Den and Riccardo Poli and
Shaheen Fatima",
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journal = "Memetic Computing",
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year = "2009",
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number = "3",
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volume = "1",
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pages = "205--219",
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keywords = "genetic algorithms, genetic programming, timetabling,
Hyper-heuristics, Heuristics",
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DOI = "doi:10.1007/s12293-009-0022-y",
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bibdate = "2009-12-11",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/memetic/memetic1.html#Bader-El-DenPF09",
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abstract = "This paper introduces a Grammar-based Genetic
Programming Hyper-Heuristic framework (GPHH) for
evolving constructive heuristics for timetabling. In
this application GP is used as an online learning
method which evolves heuristics while solving the
problem. In other words, the system keeps on evolving
heuristics for a problem instance until a good solution
is found. The framework is tested on some of the most
widely used benchmarks in the field of exam timetabling
and compared with the best state-of-the-art approaches.
Results show that the framework is very competitive
with other constructive techniques, and did outperform
other hyper-heuristic frameworks on many occasions.",
- }
Genetic Programming entries for
Mohamed Bahy Bader-El-Den
Riccardo Poli
Shaheen Fatima
Citations