Teams of Genetic Predictors for Inverse Problem Solving
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{eurogp:Defoin-PlatelCCC05,
-
author = "Michael Defoin-Platel and Malik Chami and
Manuel Clergue and Philippe Collard",
-
editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
-
title = "Teams of Genetic Predictors for Inverse Problem
Solving",
-
booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
-
publisher = "Springer",
-
series = "Lecture Notes in Computer Science",
-
volume = "3447",
-
year = "2005",
-
address = "Lausanne, Switzerland",
-
month = "30 " # mar # " - 1 " # apr,
-
organisation = "EvoNet",
-
keywords = "genetic algorithms, genetic programming: Poster",
-
ISBN = "3-540-25436-6",
-
pages = "341--350",
-
size = "10",
-
URL = "http://www.obs-vlfr.fr/LOV/OMT/fichiers_PDF/Defoin_and_Chami_LNCS_05.pdf",
-
DOI = "doi:10.1007/978-3-540-31989-4_31",
-
DOI = "doi:10.1007/b107383",
-
bibsource = "DBLP, http://dblp.uni-trier.de",
-
abstract = "Genetic Programming (GP) has been shown to be a good
method of predicting functions that solve inverse
problems. In this context, a solution given by GP
generally consists of a sole predictor. In contrast,
Stack-based GP systems manipulate structures containing
several predictors, which can be considered as teams of
predictors. Work in Machine Learning reports that
combining predictors gives good results in terms of
both quality and robustness. In this paper, we use
Stack-based GP to study different cooperations between
predictors. First, preliminary tests and parameter
tuning are performed on two GP benchmarks. Then, the
system is applied to a real-world inverse problem. A
comparative study with standard methods has shown
limits and advantages of teams prediction, leading to
encourage the use of combinations taking into account
the response quality of each team member.",
-
notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
- }
Genetic Programming entries for
Michael Defoin Platel
Malik Chami
Manuel Clergue
Philippe Collard
Citations