Methods to Evolve Legal Phenotypes
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{TinaYu:1998:melpLB,
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author = "Tina Yu and Peter Bentley",
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title = "Methods to Evolve Legal Phenotypes",
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booktitle = "Late Breaking Papers at the Genetic Programming 1998
Conference",
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year = "1998",
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editor = "John R. Koza",
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pages = "242--249",
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address = "University of Wisconsin, Madison, Wisconsin, USA",
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publisher_address = "Stanford, CA, USA",
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month = "22-25 " # jul,
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publisher = "Stanford University Bookstore",
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keywords = "genetic algorithms, genetic programming",
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size = "8 pages",
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abstract = "Many optimisation problems require the satisfaction of
constraints in addition to their objectives. When using
an evolutionary algorithm to solve such problems, these
constraints can be enforced in many different ways to
ensure that legal solutions (phenotypes) are evolved.
We have identified eleven ways to handle constraints
within various stages of an evolutionary algorithm.
Five of these methods are experimented on a run-time
error constraint in a Genetic Programming system. The
results are compared and analysed.",
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notes = "GP-98LB see also \cite{TinaYu:1998:melp}",
- }
Genetic Programming entries for
Tina Yu
Peter J Bentley
Citations