GA optimization of terminal antennas by the estimation of the population density of probability using dependency trees
Nunez, F.; Skrivervik, A. K.
2003

Abstract

An application to antenna optimization of bayesian network density of probability estimators is presented. This technique is very usefull for optimizations where abig number of parameters, multiple solutions and local minima increase the likelihood to converge towards suboptimale solutions. Three methodes are presented and compared in the case of antenna optimization.

Details

Title GA optimization of terminal antennas by the estimation of the population density of probability using dependency trees
Author(s) Nunez, F. ; Skrivervik, A. K.
Published in 17th International Conference on Applied Electromagnetics and Communications (ICECom 2003)
Pages 336-339
Date 2003
Keywords
DOI https://doi.org/10.1109/ICECOM.2003.1291022
Laboratories LEMA
MAG
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LEMA - Laboratory of ElectroMagnetics and Antennas
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > MAG - Microwave and Antenna Group
Scientific production and competences > I&C - School of Computer and Communication Sciences > MICS - Mobile Information & Communication Systems
Scientific production and competences > MICS - Mobile Information & Communication Systems
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Record creation date 2006-11-30

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