On the performance of Genetic Operators the Random Key Representation
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gp-bibliography.bib Revision:1.8098
- @InProceedings{ryan:2004:eurogp,
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author = "Eoin Ryan and Atif Azad and Conor Ryan",
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title = "On the performance of Genetic Operators the Random Key
Representation",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "162--173",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_15",
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abstract = "Many evolutionary systems have been developed that
solve various specific scheduling problems. One such
permutation based system, which uses a linear GP type
Genotype to Phenotype Mapping (GPM), known as the
Random Key Genetic Algorithm is investigated. The role
standard mutation plays in this representation is
analysed formally and is shown to be extremely
disruptive. To ensure small fixed sized changes in the
phenotype a swap mutation operator is suggested for
this representation. An empirical investigation reveals
that swap mutation outperforms the standard mutation to
solve a hard deceptive problem even without the use of
crossover. Swap mutation is also used in conjunction
with different crossover operators and significant
boost has been observed in the performance especially
in the case of headless chicken crossover that produced
surprising results.",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Eoin Ryan
R Muhammad Atif Azad
Conor Ryan
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