Tile-world - A case study of Genetic Network Programming with automatic program generation

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Bing Li and Shingo Mabu and Kotaro Hirasawa",
  title =        "Tile-world - A case study of Genetic Network
                 Programming with automatic program generation",
  booktitle =    "IEEE International Conference on Systems Man and
                 Cybernetics (SMC 2010)",
  year =         "2010",
  month =        "10-13 " # oct,
  pages =        "2708--2715",
  abstract =     "Genetic Network Programming (GNP) is a novel
                 evolutionary algorithm. It has graph-based structures
                 which is extended from Genetic Algorithm (GA) and
                 Genetic Programming (GP). Up to now, GNP has been
                 applied to many research fields such as data mining and
                 elevator control systems. On the other hand, automatic
                 program generation is a way to obtain a program without
                 explicitly programming it, and Genetic Programming is
                 the traditional paradigm in this field. Drawn from the
                 inspiration of GP, GNP for Automatic Program Generation
                 (GNP-APG) has been proposed. In this paper, GNP-APG is
                 applied to the Tile-world, which is a famous test bed
                 with dynamic and uncertain characteristics. GNP-APG
                 uses a kind of genotype-phenotype mapping process to
                 create program. The procedure of the program generation
                 based on evolution is demonstrated in this paper. In
                 simulations, different tile-worlds between the training
                 phase and the testing phase are used for performance
                 evaluations and the results shows that GNP-APG could
                 have better performances than the conventional GNP
  keywords =     "genetic algorithms, genetic programming, Tile-world,
                 automatic program generation, data mining, elevator
                 control system, evolutionary algorithm, genetic network
                 programming, genotype-phenotype mapping process,
                 graph-based structure, performance evaluation,
                 automatic programming, data mining, lifts",
  DOI =          "doi:10.1109/ICSMC.2010.5641793",
  ISSN =         "1062-922X",
  notes =        "Grad. Sch. of Inf., Production & Syst., Waseda Univ.,
                 Fukuoka, Japan. Also known as \cite{5641793}",

Genetic Programming entries for Bing Li Shingo Mabu Kotaro Hirasawa