Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Bernardino:2011:ICARIS,
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author = "Heder S. Bernardino and Helio J. C. Barbosa",
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title = "Inferring Systems of Ordinary Differential Equations
via Grammar-Based Immune Programming",
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booktitle = "Proceedings of the International Conference on
Artificial Immune Systems (ICARIS)",
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year = "2011",
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editor = "Pietro Lio and Giuseppe Nicosia and Thomas Stibor",
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volume = "6825",
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series = "Lecture Notes in Computer Science",
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pages = "198--211",
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address = "Cambridge, UK",
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month = jul # " 18-21",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-22370-9",
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URL = "http://dx.doi.org/10.1007/978-3-642-22371-6_19",
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DOI = "doi:10.1007/978-3-642-22371-6_19",
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abstract = "Grammar-based Immune Programming (GIP) is a method for
evolving programs in an arbitrary language using an
immunological inspiration. GIP is applied here to solve
the relevant modelling problem of finding a system of
differential equations, in analytical form, which
better explains a given set of data obtained from a
certain phenomenon. Computational experiments are
performed to evaluate the approach, showing that GIP is
an efficient technique for symbolic modelling.",
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language = "English",
- }
Genetic Programming entries for
Heder Soares Bernardino
Helio J C Barbosa
Citations