On Synergistic Interactions Between Evolution, Development and Layered Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Hoang:2011:ieeeTEC,
  author =       "Tuan-Hao Hoang and R. I. McKay and Daryl Essam and 
                 Nguyen Xuan Hoai",
  title =        "On Synergistic Interactions Between Evolution,
                 Development and Layered Learning",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2011",
  volume =       "15",
  number =       "3",
  pages =        "287--312",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, animal
                 development, biological evolution, development
                 learning, evolution learning, evolutionary
                 developmental evaluation, learning theory perspective,
                 lifelong layered learning, plant development,
                 tree-adjoining grammar guided genetic programming,
                 biology, genetic algorithms, learning systems",
  ISSN =         "1089-778X",
  DOI =          "doi:10.1109/TEVC.2011.2150752",
  size =         "26 pages",
  abstract =     "We investigate interactions between evolution,
                 development and lifelong layered learning in a
                 combination we call evolutionary developmental
                 evaluation (EDE), using a specific implementation,
                 developmental tree-adjoining grammar guided genetic
                 programming (GP). The approach is consistent with the
                 process of biological evolution and development in
                 higher animals and plants, and is justifiable from the
                 perspective of learning theory. In experiments, the
                 combination is synergistic, outperforming algorithms
                 using only some of these mechanisms. It is able to
                 solve GP problems that lie well beyond the scaling
                 capabilities of standard GP. The solutions it finds are
                 simple, succinct, and highly structured. We conclude
                 this paper with a number of proposals for further
                 extension of EDE systems.",
  notes =        "DTAG3P, TAG3P, tree adjoined grammar (TAG), symbolic
                 regression, k-parity, ordertree Also known as
                 \cite{5898401}",
}

Genetic Programming entries for Tuan-Hao Hoang R I (Bob) McKay Daryl Essam Nguyen Xuan Hoai

Citations