Preface to the Special Issue on Genetic Improvement

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Petke:2016:GPEM,
  author =       "Justyna Petke",
  title =        "Preface to the Special Issue on Genetic Improvement",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2017",
  volume =       "18",
  number =       "1",
  month =        mar,
  pages =        "3--4",
  note =         "Editorial Note",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Improvement",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-016-9280-x",
  size =         "2 pages",
  abstract =     "I am delighted to present this special issue of the
                 Genetic Programming and Evolvable Machines journal on
                 Genetic Improvement, which has emerged as a new
                 separate field of research only in the last few years.
                 Genetic improvement applies evolutionary and
                 search-based optimisation methods to the improvement of
                 existing software. It could be used, for instance, to
                 automate the process of software repair or to minimise
                 bandwidth, memory or energy consumption.

                 Genetic programming can use human-written software as a
                 feed stock for genetic improvement and is able to
                 evolve mutant software tailored to solving particular
                 problems. Other interesting areas are automated
                 software transplantation, as well as grow-and-graft
                 genetic programming, where software is incubated
                 outside its target human written code and subsequently
                 grafted into it via genetic improvement. Work on
                 software repair, specialisation and transplantation
                 resulted in four Humies, awarded for human-competitive
                 results produced by genetic and evolutionary
                 computation (http://www.human-competitive.org/awards).
                 Genetic improvement work has also won multiple best
                 papers awards.

                 The success and rapid growth of this emergent area led
                 to a dedicated event series, Genetic Improvement
                 Workshops
                 (http://www.geneticimprovementofsoftware.com), started
                 in 2015 and organised in conjunction with the Genetic
                 and Evolutionary Computation Conference (GECCO). It is
                 thus also the ripe time for a special journal issue on
                 genetic improvement, the purpose of which is to
                 investigate the work and trends in this new field of
                 research. Following an open call for papers, the three
                 articles that comprise this special issue present the
                 latest achievements in the field, one of which was
                 handled by the editor-in-chief to avoid conflict of
                 interest.

                 In Genetic Improvement of GPU Software William B.
                 Langdon et al. \cite{Langdon:2016:GPEM} present a
                 collection of several successful applications of
                 genetic improvement. These range from upgrading legacy
                 code for new hardware through software efficiency
                 improvement to automated software parallelisation.

                 In Trading between Quality and Non-functional
                 Properties of Median Filter in Embedded Systems
                 \cite{Vasicek:2016:GPEMa} Zdenek Vasicek and Vojtech
                 Mrazek investigate the possibilities and opportunities
                 for improving non-functional properties of software,
                 such as execution time, code size and energy
                 consumption. They focus on applying genetic improvement
                 techniques to the median functions implemented using
                 comparator networks.

                 Finally, in Online Genetic Improvement on the JVM with
                 ECSELR Kwaku Yeboah-Antwi and Benoit Baudry present an
                 online genetic improvement framework called ECSELR. It
                 has the ability to improve and adapt inside a target
                 software system enabling it to evolve and adapt at
                 runtime without any external dependencies or human
                 intervention.

                 Collectively, these three papers illustrate the diverse
                 range of applications of genetic improvement and
                 provide a detailed compilation of the various issues
                 currently being investigated in this new research
                 area.

                 I would like to thank the editor-in-chief, the authors
                 and the reviewers for contributing to this special
                 issue on genetic improvement. It will undoubtedly
                 encourage engaging work in this exciting field. I hope
                 you take some inspiration from this special issue for
                 your own future research. Enjoy reading!",
}

Genetic Programming entries for Justyna Petke

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