Self-Adapting Semantic Sensitivities for Semantic Similarity Based Crossover
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{q.u.nguyen_etal:cec2010,
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author = "Nguyen Quang Uy and Bob McKay and Michael O'Neill and
Nguyen Xuan Hoai",
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title = "Self-Adapting Semantic Sensitivities for Semantic
Similarity Based Crossover",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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pages = "4034--4040",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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DOI = "doi:10.1109/CEC.2010.5586052",
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size = "7 pages",
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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abstract = "This paper presents two methods for self-adapting the
semantic sensitivities in a recently proposed
semantics-based crossover: Semantic Similarity based
Crossover (SSC)[1]. The first self-adaptation method is
inspired by a self-adaptive method for controlling
mutation step size in Evolutionary Strategies (1/5
rule). The design of the second takes into account more
of our previous experimental observations, that SSC
works well only when a certain portion of events
successfully exchange semantically similar subtrees.
These two proposed methods are then tested on a number
of real-valued symbolic regression problems, their
performance being compared with SSC using predetermined
sensitivities and with standard crossover. The results
confirm the benefits of the second self-adaption
method.",
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notes = "WCCI 2010. Also known as \cite{5586052}",
- }
Genetic Programming entries for
Quang Uy Nguyen
R I (Bob) McKay
Michael O'Neill
Nguyen Xuan Hoai
Citations