Comparison of Linear Genome Representations For Software Synthesis
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{Spector:2019:GPTP,
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author = "Edward Pantridge and Thomas Helmuth and Lee Spector",
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title = "Comparison of Linear Genome Representations For
Software Synthesis",
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booktitle = "Genetic Programming Theory and Practice XVII",
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year = "2019",
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editor = "Wolfgang Banzhaf and Erik Goodman and
Leigh Sheneman and Leonardo Trujillo and Bill Worzel",
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pages = "255--274",
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address = "East Lansing, MI, USA",
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month = "16-19 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-030-39957-3",
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DOI = "doi:10.1007/978-3-030-39958-0_13",
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abstract = "In many genetic programming systems, the program
variation and execution processes operate on different
program representations. The representations on which
variation operates are referred to as genomes.
Unconstrained linear genome representations can provide
a variety of advantages, including reduced complexity
of program generation, variation, simplification and
serialization operations. The Plush genome
representation, which uses epigenetic markers on linear
genomes to express nonlinear structures, has supported
the production of state-of-the-art results in program
synthesis with the PushGP genetic programming system.
Here we present a new, simpler, non-epigenetic
alternative to Plush, called Plushy, that appears to
maintain all of the advantages of Plush while providing
additional benefits. These results illustrate the
virtues of unconstrained linear genome representations
more generally, and may be transferable to genetic
programming systems that target different languages for
evolved programs.",
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notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the
workshop",
- }
Genetic Programming entries for
Edward R Pantridge
Thomas Helmuth
Lee Spector
Citations