DocumentCode
1779841
Title
Dealing with EM functional optimization through new generation evolutionary-based methods
Author
Massa, A. ; Oliveri, G. ; Salucci, Marco ; Nardin, Cristina ; Rocca, Paolo
Author_Institution
ELEDIA Res. Center @ DISI, Univ. of Trento, Trento, Italy
fYear
2014
fDate
14-16 May 2014
Firstpage
1
Lastpage
4
Abstract
After a short review on the key-stones of EA-based approaches for electromagnetic engineering, this paper is aimed at analyzing current limitations of EAs for successively giving an overview on some EA-advances for enabling their effective and reliable application to EM problems concerned with the synthesis of systems and devices.
Keywords
electromagnetic wave propagation; evolutionary computation; reliability; EM functional optimization; current limitations; electromagnetic engineering; new generation evolutionary-based methods; Antennas; Arrays; Cost function; Electromagnetics; Inverse problems; Particle swarm optimization; EM Applications; EM Synthesis; EM System and Devices; Evolutionary Optimization; Numerical Modeling and Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), 2014 International Conference on
Conference_Location
Pavia
Type
conf
DOI
10.1109/NEMO.2014.6995692
Filename
6995692
Link To Document