Size Control with Maximum Homologous Crossover
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{DBLP:conf/ae/Defoin-PlatelCC05,
-
author = "Michael Defoin-Platel and Manuel Clergue and
Philippe Collard",
-
title = "Size Control with Maximum Homologous Crossover",
-
year = "2005",
-
pages = "13--24",
-
editor = "El-Ghazali Talbi and Pierre Liardet and
Pierre Collet and Evelyne Lutton and Marc Schoenauer",
-
publisher = "Springer",
-
series = "Lecture Notes in Computer Science",
-
volume = "3871",
-
ISBN = "3-540-33589-7",
-
bibsource = "DBLP, http://dblp.uni-trier.de",
-
booktitle = "7th International Conference on Artificial Evolution
EA 2005",
-
address = "Lille, France",
-
month = oct # " 26-28",
-
note = "Revised Selected Papers",
-
keywords = "genetic algorithms, genetic programming, Maximum
Homologous Crossover, MHC, stack-based GP",
-
URL = "https://hal.archives-ouvertes.fr/hal-00159738/document",
-
DOI = "doi:10.1007/11740698_2",
-
size = "12 pages",
-
abstract = "Most of the Evolutionary Algorithms handling
variable-sized structures, like Genetic Programming,
tend to produce too long solutions and the
recombination operator used is often considered to be
partly responsible of this phenomenon, called bloat.
The Maximum Homologous Crossover (MHC) preserves
similar structures from parents by aligning them
according to their homology. This operator has already
demonstrated interesting abilities in bloat reduction
but also some weaknesses in the exploration of the size
of programs during evolution. we show that MHC do not
induce any specific biases in the distribution of
sizes, allowing size control during evolution. Two
different methods for size control based on MHC are
presented and tested on a symbolic regression problem.
Results show that an accurate control of the size is
possible while improving performances of MHC.",
-
notes = "published 2006",
- }
Genetic Programming entries for
Michael Defoin Platel
Manuel Clergue
Philippe Collard
Citations