Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@TechReport{genofix-TR,
  author =       "Jerry Swan and Michael G. Epitropakis and 
                 John R. Woodward",
  title =        "{Gen-O-Fix:} An embeddable framework for Dynamic
                 Adaptive Genetic Improvement Programming",
  institution =  "Computing Science and Mathematics, University of
                 Stirling",
  year =         "2014",
  number =       "CSM-195",
  address =      "UK",
  month =        "17 " # jan,
  keywords =     "genetic algorithms, genetic programming, Scala",
  URL =          "http://www.cs.stir.ac.uk/~kjt/techreps/recent.html",
  URL =          "http://www.cs.stir.ac.uk/~kjt/techreps/pdf/TR195.pdf",
  URL =          "http://www.epitropakis.co.uk/sites/default/files/pubs/genofix-TR.pdf",
  size =         "12 pages",
  abstract =     "Genetic Improvement Programming (GIP) is concerned
                 with automating the burden of software maintenance, the
                 most costly phase of the software life cycle. We
                 describe Gen-O-Fix, a GIP framework which allows a
                 software system hosted on the Java Virtual Machine to
                 be continually improved (e.g. make better predictions;
                 pass more regression tests; reduce power consumption).
                 It is the first exemplar of a dynamic adaptive GIP
                 framework, i.e. it can improve a system as it runs. It
                 is written in the Scala programming language and uses
                 reflection to yield source-to-source transformation.
                 One of the design goals for Gen-O-Fix was to create a
                 tool that is user-centric rather than
                 researcher-centric: the end-user is required only to
                 provide a measure of system quality and the URL of the
                 source code to be improved. We discuss potential
                 applications to predictive, embedded and
                 high-performance systems.",
  notes =        "ISSN 1460-9673

                 See also slides
                 http://crest.cs.ucl.ac.uk/cow/28/slides/COW28_Woodward.pdf",
}

Genetic Programming entries for Jerry Swan Michael G Epitropakis John R Woodward

Citations