Experiments in Genetic Divergence for Emergent Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Christopher McGowan and Alexander Wild and 
                 Barry Porter",
  title =        "Experiments in Genetic Divergence for Emergent
  booktitle =    "GI-2018, ICSE workshops proceedings",
  year =         "2018",
  editor =       "Justyna Petke and Kathryn Stolee and 
                 William B. Langdon and Westley Weimer",
  pages =        "9--16",
  address =      "Gothenburg, Sweden",
  month =        "2 " # jun,
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  note =         "Best Paper",
  keywords =     "genetic algorithms, genetic programming, genetic
  isbn13 =       "978-1-4503-5753-1",
  URL =          "http://geneticimprovementofsoftware.com/wp-content/uploads/2018/03/Porter_2018_GI.pdf",
  DOI =          "doi:10.1145/3194810.3194813",
  size =         "8 pages",
  abstract =     "Emergent software systems take a step towards tackling
                 the ever-increasing complexity of modern software, by
                 having systems self-assemble from a library of building
                 blocks, and then continually re-assemble themselves
                 from alternative building blocks to learn which
                 compositions of behaviour work best in each deployment
                 environment. One of the key challenges in emergent
                 systems is populating the library of building blocks,
                 and particularly a set of alternative implementations
                 of particular building blocks, which form the runtime
                 search space of optimal behaviour. We present initial
                 work in using a fusion of genetic improvement and
                 genetic synthesis to automatically populate a divergent
                 set of implementations of the same functionality,
                 allowing emergent systems to explore new behavioural
                 alternatives without human input. Our early results
                 indicate this approach is able to successfully yield
                 useful divergent implementations of building blocks
                 which are more suited than any existing alternative for
                 particular operating conditions.",
  notes =        "Note author order



                 GI-2018 http://geneticimprovementofsoftware.com part of

Genetic Programming entries for Christopher McGowan Alexander Wild Barry Porter