On the Evolvability of A Hybrid Ant Colony-Cartesian Genetic Programming Methodology

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{luis:2013:EuroGP,
  author =       "Sweeney Luis and Marcus Vinicius {dos Santos}",
  title =        "On the Evolvability of A Hybrid Ant Colony-Cartesian
                 Genetic Programming Methodology",
  booktitle =    "Proceedings of the 16th European Conference on Genetic
                 Programming, EuroGP 2013",
  year =         "2013",
  month =        "3-5 " # apr,
  editor =       "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and 
                 A. Sima Uyar and Bin Hu",
  series =       "LNCS",
  volume =       "7831",
  publisher =    "Springer Verlag",
  address =      "Vienna, Austria",
  pages =        "109--120",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, Ant Colonies, Rank-Based Ant
                 System, Hybrid Architectures, Evolvability, Dynamic
                 Environments",
  isbn13 =       "978-3-642-37206-3",
  DOI =          "doi:10.1007/978-3-642-37207-0_10",
  abstract =     "A method that uses Ant Colonies as a Model-based
                 Search to Cartesian Genetic Programming (CGP) to induce
                 computer programs is presented. Candidate problem
                 solutions are encoded using a CGP representation. Ants
                 generate problem solutions guided by pheromone traces
                 of entities and nodes of the CGP representation. The
                 pheromone values are updated based on the paths
                 followed by the best ants, as suggested in the
                 Rank-Based Ant System (AS_rank). To assess the
                 evolvability of the system we applied a modified
                 version of the method introduced in \cite{Evolvability}
                 to measure rate of evolution. Our results show that
                 such method effectively reveals how evolution proceeds
                 under different parameter settings. The proposed hybrid
                 architecture shows high evolvability in a dynamic
                 environment by maintaining a pheromone model that
                 elicits high genotype diversity.",
  notes =        "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
                 conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
                 and EvoApplications2013",
}

Genetic Programming entries for Sweeney Luis Marcus Vinicius dos Santos

Citations