For Sale or Wanted: Directed Crossover in Adjudicated Space

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Jeannie M. Fitzgerald and Conor Ryan",
  title =        "For Sale or Wanted: Directed Crossover in Adjudicated
  booktitle =    "Proceedings of the 7th International Joint Conference
                 on Computational Intelligence, ECTA 2015",
  year =         "2015",
  editor =       "Agostinho Rosa and Juan Julian Merelo and 
                 Antonio Dourado and Jose M. Cadenas and Kurosh Madani and 
                 Antonio Ruano and Joaquim Filipe",
  volume =       "1",
  pages =        "95--105",
  address =      "Lisbon, Portugal",
  month =        "12-14 " # nov,
  organisation = "INSTICC - Institute for Systems and Technologies of
                 Information, Control and Communication, IFAC -
                 International Federation of Automatic Control, IEEE SMC
                 - IEEE Systems, Man and Cybernetics Society",
  publisher =    "SCITEPRESS - Science and Technology Publications",
  keywords =     "genetic algorithms, genetic programming, search
                 spaces, Directed crossover",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "11 pages",
  abstract =     "Significant recent effort in genetic programming has
                 focused on selecting and combining candidate solutions
                 according to a notion of behaviour defined in semantic
                 space and has also highlighted disadvantages of relying
                 on a single scalar measure to capture the complexity of
                 program performance in evolutionary search. In this
                 paper, we take an alternative, yet complementary
                 approach which directs crossover in what we call
                 adjudicated space, where adjudicated space represents
                 an abstraction of program behaviour that focuses on the
                 success or failure of candidate solutions in solving
                 problem sub-components. We investigate the
                 effectiveness of several possible adjudicated
                 strategies on a variety of classification and symbolic
                 regression problems, and show that both of our novel
                 pillage and barter tactics significantly outperform
                 both a standard genetic programming and an enhanced
                 genetic programming configuration on the fourteen
                 problems studied.",
  notes =        "See \cite{Fitzgerald:2015:FSOWrevised}

                 Contact: Ana Margarida


Genetic Programming entries for Jeannie Fitzgerald Conor Ryan