Evolution of robotic behaviours using Gene Expression Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Mwaura:2010:cec,
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author = "Jonathan Mwaura and Ed Keedwell",
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title = "Evolution of robotic behaviours using Gene Expression
Programming",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "Genetic Algorithms and Genetic programming have been
used extensively in Evolutionary robotics (ER) with the
goal of automatic programming of robotic controllers
and has shown to be a promising approach. In this
paper, we demonstrate the use of Gene Expression
Programming, GEP, a newly developed evolutionary
algorithm akin to GA and GP, to evolve robotic
behaviours. We use the already well known obstacle
avoidance behaviour for our initial work. The behaviour
can be regarded as emergent when the main aim is to
develop a wandering/exploratory behaviour. From our
investigations, we show that GEP is able to learn
controllers for a number of different environments.
Moreover, standard GEP has never been used before in
evolving robotic behaviours, however due to its
reported good performances in other fields, we feel it
has the capability to be used in ER.",
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DOI = "doi:10.1109/CEC.2010.5586083",
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notes = "WCCI 2010. Also known as \cite{5586083}",
- }
Genetic Programming entries for
Jonathan Mwaura
Ed Keedwell
Citations