Comparison of Evolutionary Methods for Smoother Evolution

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

@InProceedings{hikage:1998:cemse,
  author =       "Tomofumi Hikage and Hitoshi Hemmi and 
                 Katsunori Shimohara",
  title =        "Comparison of Evolutionary Methods for Smoother
                 Evolution",
  booktitle =    "Proceedings of the Second International Conference on
                 Evolvable Systems: From Biology to Hardware (ICES 98)",
  year =         "1998",
  editor =       "Moshe Sipper and Daniel Mange and Andres Perez-Uribe",
  volume =       "1478",
  series =       "LNCS",
  pages =        "115--124",
  address =      "Lausanne, Switzerland",
  publisher_address = "Berlin",
  month =        "23-25 " # sep,
  publisher =    "Springer Verlag",
  keywords =     "genetic algorithms, genetic programming, HDL",
  ISBN =         "3-540-64954-9",
  DOI =          "doi:10.1007/BFb0057613",
  size =         "8 pages",
  abstract =     "Hardware evolution methodologies come into their own
                 in the construction of real-time adaptive systems. The
                 technological requirements for such systems are not
                 only high-speed evolution, but also steady and smooth
                 evolution. This paper shows that the Progressive
                 Evolution Model (PEM) and Diploid chromosomes
                 contribute toward satisfying these requirements in the
                 hardware evolutionary system AdAM (Adaptive
                 Architecture Methodology). Simulations of an artificial
                 ant problem using four combinations of two wets of
                 variables - PEM vs. non-PEM, and Diploid AdAM vs.
                 Haploid AdAM - show that the Diploid-PEM combination
                 overwhelms the others.",
  notes =        "ICES98 Chromosome is parse-tree for SFL (HDL).
                 Simulation. Dominace recessive tags in trees. Ant is
                 _assumed_ to be able to solve problem entirely from its
                 current sensor readings, ie no memory",
}

Genetic Programming entries for Tomofumi Hikage Hitoshi Hemmi Katsunori Shimohara

Citations