Mixed IFS: Resolution of the Inverse Problem Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Cretin:al:EA95,
-
author = "Guillaume Cretin and Evelyne Lutton and
Jacques Levy-Vehel and Philippe Glevarec and Cedric Roll",
-
title = "Mixed {IFS}: Resolution of the Inverse Problem Using
Genetic Programming",
-
booktitle = "Artificial Evolution",
-
publisher = "Springer Verlag",
-
year = "1996",
-
editor = "Jean-Marc Alliot and Evelyne Lutton and
Edmund Ronald and Marc Schoenauer and Dominique Snyers",
-
volume = "1063",
-
series = "LNCS",
-
pages = "247--258",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-540-61108-0",
-
DOI = "doi:10.1007/3-540-61108-8_42",
-
size = "11 pages",
-
abstract = "We address here the resolution of the so-called
inverse problem for IFS. This problem has already been
widely considered, and some studies have been performed
for affine IFS, using deterministic or stochastic
methods (simulated annealing or Genetic Algorithm) [9,
12, 6]. When dealing with non affine IFS, the usual
techniques do not perform well, except if some a priori
hypotheses on the structure of IFS (number and type
functions) are made. A Genetic Programming method is
investigated to solve the general inverse problem,
which permits to perform at the same time a numeric and
a symbolic optimisation. The use of mixed IFS, as we
call them, may enlarge the scope of some applications,
as for example image compression, because they allow to
code a wider range of shapes.",
-
notes = "Selected papers from two conferences: Evolution
Artificielle 94 and Evolution Artificielle 95
http://www.cmap.polytechnique.fr/www.eark/ea95.html see
also \cite{lutton:1995:IFScs} and
\cite{lutton:1995:IFScs}",
-
affiliation = "INRIA-Rocquencourt B.P. 105 78153 Le Chesnay Cedex
France B.P. 105 78153 Le Chesnay Cedex France",
- }
Genetic Programming entries for
Guillaume Cretin
Evelyne Lutton
Jacques Levy-Vehel
Philippe Glevarec
Cedric Roll
Citations