Searching optimal menu layouts by linear genetic programming

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@Article{journals/jaihc/TroianoBA16,
  author =       "Luigi Troiano and Cosimo Birtolo and 
                 Roberto Armenise",
  title =        "Searching optimal menu layouts by linear genetic
                 programming",
  journal =      "Journal of Ambient Intelligence and Humanized
                 Computing",
  year =         "2016",
  number =       "2",
  volume =       "7",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2016-03-29",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/jaihc/jaihc7.html#TroianoBA16",
  pages =        "239--256",
  URL =          "http://dx.doi.org/10.1007/s12652-015-0322-7",
  abstract =     "Designing effective menu systems is a key ingredient
                 to usable graphical user interfaces. This task
                 generally relies only on human ability in building
                 hierarchical structures. However, trading off different
                 and partially opposite guidelines, standards and
                 practices is time consuming and can exceed human skills
                 in problem solving. Recent advances are showing that
                 this task can be addressed by generative approaches
                 which exploit evolutionary algorithms as means for
                 evolving different and unexpected solutions. The search
                 of optimal solutions is made not trivial due to
                 different alternatives which lead to local optima and
                 constraints which can invalidate large sectors of the
                 search space and make valid solutions sparse. This
                 problem can be addressed by choosing an appropriate
                 algorithm. In this paper we face the problem of
                 searching optimal solutions by Linear Genetic
                 Programming in particular, and we compare the solution
                 to more conventional approaches based on simple genetic
                 algorithms and genetic programming. Experimental
                 results are discussed and compared to human-made
                 solutions.",
}

Genetic Programming entries for Luigi Troiano Roberto Armenise Roberto Armenise

Citations