A methodology for user directed search in evolutionary design

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jonathan Byrne and Erik Hemberg and 
                 Michael O'Neill and Anthony Brabazon",
  title =        "A methodology for user directed search in evolutionary
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2013",
  volume =       "24",
  number =       "3",
  pages =        "September",
  month =        "287--314",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Interactivity, Interrupt intervene and
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-013-9189-6",
  size =         "28 pages",
  abstract =     "A designer should be able to express their intentions
                 with a design tool. This work describes a methodology
                 that enables the architect to directly interact with
                 the encoding of designs they find aesthetically
                 pleasing. Broadening interaction beyond simple
                 evaluation increases the amount of feedback and bias a
                 user can apply to the search. Increased feedback will
                 have the effect of directing the algorithm to more
                 fruitful areas of the search space. We conduct trials
                 on two interfaces for making localised changes to a
                 design in order to evaluate if the user is capable of
                 directing search. In addition, an examination of the
                 locality of changes made by the users provides an
                 insight into how they explore the search space. The
                 results show that a suitably designed interface is
                 capable of directing search and that the participants
                 used different magnitudes of change during directed

Genetic Programming entries for Jonathan Byrne Erik Hemberg Michael O'Neill Anthony Brabazon