Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement
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- @Article{journals/cai/MingoAMA13,
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author = "Jack Mario Mingo and Ricardo Aler and
Dario Maravall and Javier {de Lope Asiain}",
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title = "Investigations into Lamarckism, Baldwinism and Local
Search in Grammatical Evolution Guided by
Reinforcement",
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journal = "Computing and Informatics",
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year = "2013",
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number = "3",
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volume = "32",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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bibdate = "2013-08-16",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/cai/cai32.html#MingoAMA13",
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pages = "595--627",
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URL = "http://www.cai.sk/ojs/index.php/cai/article/view/1735",
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size = "33 pages",
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abstract = "Grammatical Evolution Guided by Reinforcement is an
extension of Grammatical Evolution that tries to
improve the evolutionary process adding break a
learning process for all the individuals in the
population. With this aim, each individual is given a
chance to learn through a reinforcement learning
mechanism during its lifetime. The learning process is
completed with a Lamarckian mechanism in which an
original genotype is replaced by the best learnt
genotype for the individual. In a way, Grammatical
Evolution Guided by Reinforcement shares an important
feature with other hybrid algorithms, i.e. global
search in the evolutionary process combined with local
search in the learning process. In this paper the role
of the Lamarck Hypothesis is reviewed and a solution
inspired only in the Baldwin effect is included as
well. Besides, different techniques about the trade-off
between exploitation and exploration in the
reinforcement learning step followed by Grammatical
Evolution Guided by Reinforcement are studied. In order
to evaluate the results, the system is applied on two
different domains: a simple autonomous navigation
problem in a simulated Kephera robot and a typical
Boolean function problem.",
- }
Genetic Programming entries for
Jack Mario Mingo
Ricardo Aler Mur
Dario Maravall Gomez-Allende
Javier de Lope
Citations