IWPAAMS2007-02: The Role Of The Lamarck Hypothesis In The Grammatical Evolution Guided By Reinforcement
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- @Article{Mingo:2008:Revista,
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author = "Jack M. Mingo and Ricardo Aler",
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title = "IWPAAMS2007-02: The Role Of The Lamarck Hypothesis In
The Grammatical Evolution Guided By Reinforcement",
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journal = "Latin America Transactions, IEEE (Revista IEEE America
Latina)",
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year = "2008",
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month = oct,
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volume = "6",
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number = "6",
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pages = "500--504",
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note = "In Spanish",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, IWPAAMS2007-02, Kephera robot simulation,
Lamarckian hypothesis, evolutionary algorithm,
reinforcement learning, evolutionary computation,
grammars, learning (artificial intelligence)",
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DOI = "doi:10.1109/TLA.2008.4908181",
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ISSN = "1548-0992",
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abstract = "Grammatical evolution is an evolutionary algorithm
able to develop programs in any language, defined by a
grammar. The evolutionary process may be improved if we
let the individuals learn during their lifetime. with
this aim, the grammatical evolution guided by
reinforcement, an algorithm which merges evolution and
learning, was created. Grammatical evolution guided by
reinforcement uses a Lamarckian mechanism for replacing
the original genotypes when a successful learning has
occurred. This paper explores the role of the
Lamarckian hypothesis. At the same time, grammatical
evolution guided by reinforcement is tested in a new
domain: autonomous navigation in a Kephera robot
simulation.",
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notes = "Also known as \cite{4908181} Article also in
proceedings?? 2007, editor = {J. Bajo, V. Alonso, L.
Joyanes, J.M. Corchado}, isbn = {978-84-611-8858-1},",
- }
Genetic Programming entries for
Jack Mario Mingo
Ricardo Aler Mur
Citations