Inferring Systems of Ordinary Differential Equations via Grammar-Based Immune Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Bernardino:2011:ICARIS,
-
author = "Heder S. Bernardino and Helio J. C. Barbosa",
-
title = "Inferring Systems of Ordinary Differential Equations
via Grammar-Based Immune Programming",
-
booktitle = "Proceedings of the International Conference on
Artificial Immune Systems (ICARIS)",
-
year = "2011",
-
editor = "Pietro Lio and Giuseppe Nicosia and Thomas Stibor",
-
volume = "6825",
-
series = "Lecture Notes in Computer Science",
-
pages = "198--211",
-
address = "Cambridge, UK",
-
month = jul # " 18-21",
-
publisher = "Springer",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-642-22370-9",
-
URL = "http://dx.doi.org/10.1007/978-3-642-22371-6_19",
-
DOI = "doi:10.1007/978-3-642-22371-6_19",
-
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.",
-
language = "English",
- }
Genetic Programming entries for
Heder Soares Bernardino
Helio J C Barbosa
Citations