Evolving Better Software Parameters
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Langdon:2018:SSBSE,
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author = "William B. Langdon and Justyna Petke",
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title = "Evolving Better Software Parameters",
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booktitle = "SSBSE 2018 Hot off the Press Track",
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year = "2018",
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editor = "Thelma Elita Colanzi and Phil McMinn",
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volume = "11036",
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series = "LNCS",
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pages = "363--369",
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address = "Montpellier, France",
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month = "8-9 " # sep,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, software engineering, SBSE, GGGP, software
maintenance of empirical constants, data
transplantation, glibc, sqrt, cbrt",
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isbn13 = "978-3-319-99241-9",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2018_SSBSE.pdf",
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DOI = "doi:10.1007/978-3-319-99241-9_22",
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size = "7 pages",
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abstract = "Genetic improvement might be widely used to adapt
existing numerical values within programs. Applying GI
to embedded parameters in computer code can create new
functionality. For example, CMA-ES can evolve 1024 real
numbers in a GNU C library square root to implement a
cube root routine for C.",
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notes = "See also \cite{Langdon:TELO}
code:
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gi_cbrt.tar.gz
https://github.com/oliver-krauss/Replication_GI_Division_Free_Division
see also \cite{replication_package}
slides:
http://www.cs.ucl.ac.uk/staff/W.Langdon/ssbse2018/Langdon_2018_SSBSE_slides.pdf",
- }
Genetic Programming entries for
William B Langdon
Justyna Petke
Citations