Español English Contacte con nosotros http://www.uc3m.es/portal/page/portal/biblioteca
DSpace e-Archivo

Archivo Abierto Institucional de la Universidad Carlos III de Madrid > Investigación > Departamentos > Departamento de Informática > Grupo de Computación Evolutiva y Redes Neuronales (EVANNAI) > DI - GCERN - Comunicaciones en Congresos y otros eventos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/15638

Files in This Item:
multiobjective_BIS_2009_ps.pdf203,67 kBAdobe PDFformato pdf
Title: Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks
Author(s): García-Rodríguez, Sandra
Luque, Cristóbal
Cervantes, Alejandro
Galván, Inés M.
Publisher: Bio-Inspired Systems: Computational and Ambient Intelligence
Issued date: 2009
Citation: Bio-Inspired Systems: Computational and Ambient Intelligence: 10th InternationalWork-Conference on Artificial Neural Networks, IWANN 2009 Salamanca, Spain, June 10-12, 2009 Proceedings, Part I. Springer, 2009, pp.728-735
URI: http://hdl.handle.net/10016/15638
ISBN: 978-3-642-02477-1
DOI: 10.1007/978-3-642-02478-8_91
Description: Proceeding of: 10th InternationalWork-Conference on Artificial Neural Networks, IWANN 2009 Salamanca, Spain, June 10-12, 2009
Abstract: The aim os this paper is to study the hybridization of two multi-objective algorithms in the context of a real problem, the MANETs problem. The algorithms studied are Particle Swarm Optimization (MOPSO) and a new multiobjective algorithm based in the combination of NSGA-II with Evolution Strategies (ESN). This work analyzes the improvement produced by hybridization over the Pareto’s fronts compared with the non-hybridized algorithms. The purpose of this work is to validate how hybridization of two evolutionary algorithms of different families may help to solve certain problems together in the context of MANETs problem. The hybridization used for this work consists on a sequential execution of the two algorithms and using the final population of the first algorithm as initial population of the second one.
Sponsor: This article has been financed by the Spanish founded research MEC projects OPLINK::UC3M, Ref:TIN2005-08818- C04-02 and MSTAR::UC3M, Ref:TIN2008-06491-C04-03.
Serie / Nº.: Lecture notes in computer science, vol. 5517
Publisher version: http://dx.doi.org/10.1007/978-3-642-02478-8_91
Keywords: Mobile Ad-hoc Networks
ESN
MANETs
MOPSO
Hybridation
Multiobjective Optimization Problem
Rights: © Springer-Verlag Berlin Heidelberg
Appears in Collections:DI - GCERN - Comunicaciones en Congresos y otros eventos

Refworks Export

SFX Query

Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! © Universidad Carlos III de Madrid - Software DSpace - Terms of use - Feedback