Heuristic Learning based on Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{drechsler:2001:EuroGP,
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author = "Nicole Drechsler and Frank Schmiedle and
Daniel Grosse and Rolf Drechsler",
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title = "Heuristic Learning based on Genetic Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "1--10",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Heuristic
Learning, VLSI CAD, BDD, Binary Decision Diagrams",
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ISBN = "3-540-41899-7",
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DOI = "doi:10.1007/3-540-45355-5_1",
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size = "10 pages",
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abstract = "In this paper we present an approach to learning
heuristics based on Genetic Programming (GP). Instead
of directly solving the problem by application of GP,
GP is used to develop a heuristic that is applied to
the problem instance. By this, the typical large
runtimes of evolutionary methods have to be invested
only once in the learning phase. The resulting
heuristic is very fast. The technique is applied to a
field from the area of VLSI CAD, i.e. minimization of
Binary Decision Diagrams (BDDs). We chose this topic
due to its high practical relevance and since it
matches the criteria where our algorithm works best,
i.e. large problem instances where standard
evolutionary techniques cannot be applied due to their
large runtimes. Our experiments show that we obtain
high quality results that outperform previous methods,
while keeping the advantage of low runtimes.",
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notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
- }
Genetic Programming entries for
Nicole Drechsler
Frank Schmiedle
Daniel Grosse
Rolf Drechsler
Citations