PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn the last decades several population-based heuristic search techniques have been developed for the optimization of combinatorial electromagnetic problems, all of them are modeled on the concepts of natural selection and evolution e.g. Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Moreover, vast variations of original methods can be found in the literature. In this paper, with the intent of examine the reliability and convergence speed of those methods, some comparisons in optimizing a dual-ring microstrip antenna will be presented. Preliminary results are here presented to demonstrate the analysis of robustness and effectiveness of optimization tools.
Multi-layer antenna design with evolutionary optimization / Ho Manh Linh;M. Mussetta;F. Grimaccia;R. E. Zich;P. Pirinoli;Chien Ngoc Dao. - (2013), pp. 1533-1536. ((Intervento presentato al convegno ICEAA 2013 tenutosi a Torino, Italy nel 9-13 Sept. 2013 [10.1109/ICEAA.2013.6632507].
| Titolo: | Multi-layer antenna design with evolutionary optimization | |
| Autori: | ||
| Data di pubblicazione: | 2013 | |
| Abstract: | In the last decades several population-based heuristic search techniques have been developed for ...the optimization of combinatorial electromagnetic problems, all of them are modeled on the concepts of natural selection and evolution e.g. Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Moreover, vast variations of original methods can be found in the literature. In this paper, with the intent of examine the reliability and convergence speed of those methods, some comparisons in optimizing a dual-ring microstrip antenna will be presented. Preliminary results are here presented to demonstrate the analysis of robustness and effectiveness of optimization tools. | |
| ISBN: | 9781467357050 9781467357074 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| iceaa13_linh.pdf | 2. Post-print / Author's Accepted Manuscript | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2518950
Copyright © 2021