IWPAAMS2007-02: The Role Of The Lamarck Hypothesis In The Grammatical Evolution Guided By Reinforcement

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@Article{Mingo:2008:Revista,

• author = "Jack M. Mingo and Ricardo Aler",
• title = "IWPAAMS2007-02: The Role Of The Lamarck Hypothesis In The Grammatical Evolution Guided By Reinforcement",
• journal = "Latin America Transactions, IEEE (Revista IEEE America Latina)",
• year = "2008",
• month = oct,
• volume = "6",
• number = "6",
• pages = "500--504",
• note = "In Spanish",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, IWPAAMS2007-02, Kephera robot simulation, Lamarckian hypothesis, evolutionary algorithm, reinforcement learning, evolutionary computation, grammars, learning (artificial intelligence)",
• DOI = "doi:10.1109/TLA.2008.4908181",
• ISSN = "1548-0992",
• 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.",
• 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

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