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 :
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