On the Evolutionary Behavior of Genetic Programming with Constants Optimization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{conf/eurocast/BurlacuAK13,
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author = "Bogdan Burlacu and Michael Affenzeller and
Michael Kommenda",
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title = "On the Evolutionary Behavior of Genetic Programming
with Constants Optimization",
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booktitle = "Computer Aided Systems Theory, EUROCAST 2013",
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year = "2013",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "8111",
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series = "Lecture Notes in Computer Science",
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pages = "284--291",
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address = "Las Palmas de Gran Canaria, Spain",
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month = feb # " 10-15",
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publisher = "Springer",
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note = "14th International Conference, Revised Selected
Papers",
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keywords = "genetic algorithms, genetic programming, evolutionary
behaviour, constant optimisation, symbolic regression,
algorithm analysis",
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bibdate = "2013-12-16",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/eurocast/eurocast2013-1.html#BurlacuAK13",
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isbn13 = "978-3-642-53855-1",
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URL = "http://dx.doi.org/10.1007/978-3-642-53856-8_36",
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DOI = "doi:10.1007/978-3-642-53856-8_36",
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size = "8 pages",
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abstract = "Evolutionary systems are characterised by two
seemingly contradictory properties: robustness and
evolvability. Robustness is generally defined as an
organism's ability to withstand genetic perturbation
while maintaining its phenotype. Evolvability, as an
organism's ability to produce useful variation. In
genetic programming, the relationship between the two,
mediated by selection and variation-producing operators
(recombination and mutation), makes it difficult to
understand the behaviour and evolutionary dynamics of
the search process. In this paper, we show that a local
gradient-based constants optimisation step can improve
the overall population evolvability by inducing a
beneficial structure-preserving bias on selection,
which in the long term helps the process maintain
diversity and produce better solutions.",
- }
Genetic Programming entries for
Bogdan Burlacu
Michael Affenzeller
Michael Kommenda
Citations