Semantically Driven Crossover in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Beadle:2008:CEC,
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author = "Lawrence Beadle and Colin Johnson",
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title = "Semantically Driven Crossover in Genetic Programming",
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booktitle = "Proceedings of the IEEE World Congress on
Computational Intelligence",
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year = "2008",
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pages = "111--116",
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editor = "Jun Wang",
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address = "Hong Kong",
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month = "1-6 " # jun,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Program
Semantics, Crossover, Reduced Ordered Binary Decision
Diagrams",
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isbn13 = "978-1-4244-1823-7",
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file = "EC0044.pdf",
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DOI = "doi:10.1109/CEC.2008.4630784",
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URL = "http://results.ref.ac.uk/Submissions/Output/1423275",
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abstract = "Crossover forms one of the core operations in genetic
programming and has been the subject of many different
investigations. We present a novel technique, based on
semantic analysis of programs, which forces each
crossover to make candidate programs take a new step in
the behavioural search space. We demonstrate how this
technique results in better performance and smaller
solutions in two separate genetic programming
experiments.",
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notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
EPS and the IET.",
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uk_research_excellence_2014 = "This paper was the first to introduce
semantic methods in genetic programming. We show that
by avoiding semantically-redundant crossover, the speed
of learning by these algorithms can be accelerated. We
provide a substantial analysis of results against other
established methods, and statistical techniques are
used to determine which problem types the new method
works well on. We followed this with further semantic
methods in papers for CEC2009 and GPEM Journal, 2009.
This work has led to a number of papers by other
research groups (e.g. UCD, TU Poznan) and a PhD at
Dublin has extended the work.",
- }
Genetic Programming entries for
Lawrence Beadle
Colin G Johnson
Citations