Genetic transposition inspired incremental genetic programming for efficient coevolution of locomotion and sensing of simulated snake-like robot

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Tanev:2011:alife,
  author =       "Tuze Kuyucu and Ivan Tanev and Katsunori Shimohara",
  title =        "Genetic transposition inspired incremental genetic
                 programming for efficient coevolution of locomotion and
                 sensing of simulated snake-like robot",
  booktitle =    "Advances in Artificial Life, ECAL 2011: Proceedings of
                 the Eleventh European Conference on the Synthesis and
                 Simulation of Living Systems",
  year =         "2011",
  editor =       "Tom Lenaerts and Mario Giacobini and 
                 Hugues Bersini and Paul Bourgine and Marco Dorigo and Rene Doursat",
  pages =        "439--446",
  address =      "Paris",
  month =        "8-12 " # aug,
  organisation = "International Society of Artificial Life (ISAL)",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming: Poster",
  isbn13 =       "978-0-262-29714-1",
  URL =          "http://mitpress.mit.edu/books/chapters/0262297140chap68.pdf",
  size =         "8 pages",
  abstract =     "Genetic transposition (GT) is a process of moving
                 sequences of DNA to different positions within the
                 genome of a single cell. It is recognised that the
                 transposons (the jumping genes) facilitate the
                 evolution of increasingly complex forms of life by
                 providing the creative playground for the mutation
                 where the latter could experiment with developing novel
                 genetic structures without the risk of damaging the
                 already existing, well-functioning genome. In this work
                 we investigate the effect of a GT-inspired mechanism on
                 the efficiency of genetic programming (GP) employed for
                 coevolution of locomotion gaits and sensing of the
                 simulated snake like robot (Snakebot). In the proposed
                 approach, the task of coevolving the locomotion and the
                 sensing morphology of Snakebot in a challenging
                 environment is decomposed into two subtasks,
                 implemented as two consecutive evolutionary stages. At
                 first stage we employ GP to evolve a pool of simple,
                 sensor less bots that are able to move fast in a
                 smooth, open terrain. Then, during the second stage, we
                 use these Snakebots to seed the initial population of
                 the bots that are further subjected to coevolution of
                 their locomotion control and sensing in a more
                 challenging environment. For the second phase the seed
                 is used as it is to create only part of a new
                 individual, and the rest of the new individual's
                 genetic makeup is created by a mutant copy of the seed.
                 Experimental results suggest that the proposed
                 two-staged GT inspired incremental evolution
                 contributes to significant increase in the efficiency
                 of the evolution of fast moving and sensing
                 Snakebots.",
  notes =        "http://www.ecal11.org/ Complete Proceedings e-Book
                 Available at:
                 http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=12760",
}

Genetic Programming entries for Tuze Kuyucu Ivan T Tanev Katsunori Shimohara

Citations