Graph-Based Evolutionary Art

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Penousal Machado and Joao Correia and 
                 Filipe Assuncao",
  title =        "Graph-Based Evolutionary Art",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "1",
  pages =        "3--36",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-20882-4",
  DOI =          "doi:10.1007/978-3-319-20883-1_1",
  abstract =     "A graph-based approach for the evolution of Context
                 Free Design Grammars is presented. Each genotype is a
                 directed hierarchical graph and, as such, the
                 evolutionary engine employs graph-based crossover and
                 mutation. We introduce six different fitness functions
                 based on evolutionary art literature and conduct a wide
                 set of experiments. We begin by assessing the adequacy
                 of the system and establishing the experimental
                 parameters. Afterwards, we conduct evolutionary runs
                 using each fitness function individually. Finally,
                 experiments where a combination of these functions is
                 used to assign fitness are performed. Overall, the
                 experimental results show the ability of the system to
                 optimize the considered functions, individually and
                 combined, and to evolve images that have the desired
                 visual characteristics",

Genetic Programming entries for Penousal Machado Joao Correia Lopes Filipe Assuncao