Grammar-based immune programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Bernardino:2011:NC,
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author = "Heder S. Bernardino and Helio J. C. Barbosa",
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title = "Grammar-based immune programming",
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journal = "Natural Computing",
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year = "2011",
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volume = "10",
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number = "1",
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pages = "209--241",
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month = mar,
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keywords = "genetic algorithms, genetic programming, Grammatical
evolution, Artificial immune system, AIS, Immune
programming, Symbolic regression, Model inference",
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ISSN = "1567-7818",
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DOI = "doi:10.1007/s11047-010-9217-x",
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abstract = "This paper describes Grammar-based Immune Programming
(GIP) for evolving programs in an arbitrary language by
immunological inspiration. GIP is based on Grammatical
Evolution (GE) in which a grammar is used to define a
language and decode candidate solutions to a valid
representation (program). However, by default, GE uses
a Genetic Algorithm in the search process while GIP
uses an artificial immune system. Some modifications
are needed of an immune algorithm to use a grammar in
order to efficiently decode antibodies into programs.
Experiments are performed to analyse algorithm
behaviour over different aspects and compare it with
GEVA, a well known GE implementation. The methods are
applied to identify a causal model (an ordinary
differential equation) from an observed data set, to
symbolically regress an iterated function f(f(x)) =
g(x), and to find a symbolic representation of a
discontinuous function",
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language = "English",
- }
Genetic Programming entries for
Heder Soares Bernardino
Helio J C Barbosa
Citations