Fitness importance for online evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Philip Valencia and Raja Jurdak and Peter Lindsay",
  title =        "Fitness importance for online evolution",
  booktitle =    "GECCO 2010 Late breaking abstracts",
  year =         "2010",
  editor =       "Daniel Tauritz",
  isbn13 =       "978-1-4503-0073-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "2117--2118",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830761.1830890",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "To complement standard fitness functions, we propose
                 {"}Fitness Importance{"} (FI) as a novel meta-heuristic
                 for online learning systems. We define FI and show how
                 it can be used to dynamically bias the population
                 composition in order to vary the instantaneous system
                 performance at a tradeoff to learning capability. The
                 effect of FI is demonstrated on a simple light-sensing
                 and light-actuating optimisation problem running on
                 multiple wireless sensor network devices. We also
                 describe how FI can be used with the In situ
                 Distributed Genetic Programming (IDGP) framework to
                 balance learning and performing for
                 resource-constrained computing devices which evolve
                 their logic continuously.",
  notes =        "Also known as \cite{1830890} Distributed on CD-ROM at

                 ACM Order Number 910102.",

Genetic Programming entries for Philip Valencia Raja Jurdak Peter A Lindsay