The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-like Robot
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{tanev:2012:EuroGP,
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author = "Ivan Tanev and Tuze Kuyucu and Katsunori Shimohara",
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title = "The Effect of Bloat on the Efficiency of Incremental
Evolution of Simulated Snake-like Robot",
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booktitle = "Proceedings of the 15th European Conference on Genetic
Programming, EuroGP 2012",
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year = "2012",
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month = "11-13 " # apr,
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editor = "Alberto Moraglio and Sara Silva and
Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
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series = "LNCS",
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volume = "7244",
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publisher = "Springer Verlag",
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address = "Malaga, Spain",
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pages = "242--253",
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organisation = "EvoStar",
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isbn13 = "978-3-642-29138-8",
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DOI = "doi:10.1007/978-3-642-29139-5_21",
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keywords = "genetic algorithms, genetic programming, Incremental
genetic programming, Bloat, Neutrality",
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abstract = "We present the effect of bloat on the efficiency of
incremental evolution of locomotion of simulated
snake-like robot (Snakebot) situated in a challenging
environment. In the proposed incremental genetic
programming (IGP), the task of coevolving the
locomotion gaits and sensing of the bot in a
challenging environment is decomposed into two
subtasks, implemented as two consecutive evolutionary
stages. In the first stage we use genetic programming
(GP) to evolve a pool of morphologically simple, sensor
less Snakebots that move fast in a smooth, open
terrain. Then, during the second stage, we use this
pool to seed the initial population of Snakebots that
are further subjected to coevolution of their
locomotion control and sensing morphology in a
challenging environment. The empirical results suggest
that the bloat no immediate effect on the efficiency of
the first stage of IGP. However, the bloated seed
contributes to a much faster second stage of evolution.
In average, the second stage with bloated seed reaches
the best fitness values of the parsimony seeds about
five times faster. We assume that this speedup is
attributed to the neutral code that is used by IGP as
an evolutionary playground to experiment with
developing novel sensory abilities, without damaging
the already evolved, fast locomotion of the bot.",
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notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
and EvoApplications2012",
- }
Genetic Programming entries for
Ivan T Tanev
Tuze Kuyucu
Katsunori Shimohara
Citations