Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner
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- @InProceedings{eurogp:Divina05,
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author = "Federico Divina",
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editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
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title = "Assessing the Effectiveness of Incorporating Knowledge
in an Evolutionary Concept Learner",
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booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3447",
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year = "2005",
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address = "Lausanne, Switzerland",
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month = "30 " # mar # " - 1 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-25436-6",
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pages = "13--24",
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URL = "http://www.cs.vu.nl/~divina/Publications/EuroGP-divina.pdf",
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DOI = "doi:10.1007/978-3-540-31989-4_2",
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DOI = "doi:10.1007/b107383",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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size = "12 pages",
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abstract = "Classical methods for Inductive Concept Learning (ICL)
rely mostly on using specific search strategies, as
hill climbing and inverse resolution. These strategies
have a great exploitation power, but run the risk of
being incapable of escaping from local optima. An
alternative approach to ICL is represented by
Evolutionary Algorithms (EAs). EAs have a great
exploration power, thus they have the capability of
escaping from local optima, but their exploitation
power is rather poor. These observations suggest that
the two approaches are applicable to partly
complementary classes of learning problems. More
important, they indicate that a system incorporating
features from both approaches could benefit from the
complementary qualities of the approaches. In this
paper we experimentally validate this statement. To
this end, we incorporate different search strategies in
a framework based on EAs for ICL. Results of
experiments show that incorporating standard search
strategies helps the EAs in achieving better results.",
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notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
- }
Genetic Programming entries for
Federico Divina
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