Result: Modeling selection intensity for linear cellular evolutionary algorithms
Title:
Modeling selection intensity for linear cellular evolutionary algorithms
Authors:
Source:
Artificial evolution (Marseille, 27-30 October 2003, revised selected papers)Lecture notes in computer science. :345-356
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Accord, Agreement, Acuerdo, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Anneau, Ring, Anillo, Asynchrone, Asynchronous, Asincrono, Asynchronisation, Asynchronism, Asincronia, Mise à jour, Updating, Actualización, Synchrone, Synchronous, Sincrónico, Algorithme cellulaire, Cellular algorithm, Algoritmo celular
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computer Science Institute, University of Lausanne, Switzerland
Information Technologies Department, University of Milano, Italy
Information Technologies Department, University of Milano, Italy
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15851141
Database:
PASCAL Archive
Further Information
We present quantitative models for the selection pressure on cellular evolutionary algorithms structured as a ring of cells. We obtain results for synchronous and asynchronous cell update policies. Theoretical results are in agreement with experimental values and show that the selection intensity can be controlled by using different update methods.