Genetic Programming for Smart Phone Personalisation

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Philip Valencia and Aiden Haak and Alban Cotillon and 
                 Raja Jurdak",
  title =        "Genetic Programming for Smart Phone Personalisation",
  howpublished = "arXiv:1408.2288",
  year =         "2014",
  month =        "11 " # aug,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "43 pages",
  abstract =     "Personalisation in smart phones requires adaptability
                 to dynamic context based on user mobility, application
                 usage and sensor inputs. Current personalisation
                 approaches, which rely on static logic that is
                 developed a priori, do not provide sufficient
                 adaptability to dynamic and unexpected context. This
                 paper proposes genetic programming (GP), which can
                 evolve program logic in realtime, as an online learning
                 method to deal with the highly dynamic context in smart
                 phone personalisation. We introduce the concept of
                 collaborative smart phone personalisation through the
                 GP Island Model, in order to exploit shared context
                 among co-located phone users and reduce convergence
                 time. We implement these concepts on real smartphones
                 to demonstrate the capability of personalisation
                 through GP and to explore the benefits of the Island
                 Model. Our empirical evaluations on two example
                 applications confirm that the Island Model can reduce
                 convergence time by up to two-thirds over standalone GP
  notes =        "Preprint submitted to Applied Soft Computing, see

Genetic Programming entries for Philip Valencia Aiden Haak Alban Cotillon Raja Jurdak