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:1.8028
- @InProceedings{Tanev:2011:alife,
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author = "Tuze Kuyucu and Ivan Tanev and Katsunori Shimohara",
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title = "Genetic transposition inspired incremental genetic
programming for efficient coevolution of locomotion and
sensing of simulated snake-like robot",
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booktitle = "Advances in Artificial Life, ECAL 2011: Proceedings of
the Eleventh European Conference on the Synthesis and
Simulation of Living Systems",
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year = "2011",
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editor = "Tom Lenaerts and Mario Giacobini and
Hugues Bersini and Paul Bourgine and Marco Dorigo and Rene Doursat",
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pages = "439--446",
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address = "Paris",
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month = "8-12 " # aug,
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organisation = "International Society of Artificial Life (ISAL)",
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publisher = "MIT Press",
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keywords = "genetic algorithms, genetic programming: Poster",
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isbn13 = "978-0-262-29714-1",
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URL = "http://mitpress.mit.edu/books/chapters/0262297140chap68.pdf",
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size = "8 pages",
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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.",
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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