Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hugh L. Southall"'
Publikováno v:
Microwave and Optical Technology Letters. 55:899-903
It has been shown that transverse electric plane waves reflect from certain types of metamaterials with a unit magnitude reflection coefficient (Smith and Schurig, Phys Rev Lett 90 &899;2003), 077405-1–077405-4).Here we investigate the reflection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a060886a238e6ce67ab788a2755b39ac
https://doi.org/10.1002/mop.27454
https://doi.org/10.1002/mop.27454
Autor:
Terry H. O'Donnell, Hugh L. Southall
Publikováno v:
SPIE Proceedings.
Evolutionary computation (EC) techniques in design optimization such as genetic algorithms (GA) or efficient global optimization (EGO) require an initial set of data samples (design points) to start the algorithm. They are obtained by evaluating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceeae6dffc27568ae0889ed060f0f437
https://doi.org/10.1117/12.883490
https://doi.org/10.1117/12.883490
Publikováno v:
SPIE Proceedings.
Efficient Global Optimization (EGO) minimizes expensive cost function evaluations by correlating evaluated parameter sets and respective solutions to model the optimization space. For optimizations requiring destructive testing or lengthy simulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e340a91db2d90c59c0a3eabf1a1557
https://doi.org/10.1117/12.851793
https://doi.org/10.1117/12.851793
Publikováno v:
SPIE Proceedings.
EGO is an evolutionary, data-adaptive algorithm which can be useful for optimization problems with expensive cost functions. Many antenna design problems qualify since complex computational electromagnetics (CEM) simulations can take significant reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c728a94d8396d6dc3c47f8c3bc0b338c
https://doi.org/10.1117/12.851794
https://doi.org/10.1117/12.851794
Publikováno v:
SPIE Proceedings.
Efficient Global Optimization (EGO) is a competent evolutionary algorithm which can be useful for problems with expensive cost functions [1,2,3,4,5]. The goal is to find the global minimum using as few function evaluations as possible. Our research i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408620b3e676b3c7270a4f924f59da93
https://doi.org/10.1117/12.820460
https://doi.org/10.1117/12.820460
Publikováno v:
SPIE Proceedings.
Chromosome design has been shown to be a crucial element in developing genetic algorithms which approach global solutions without premature convergence. The consecutive positioning of parameters with high-correlations and relevance enhances the creat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96909efb1af3a6d87d89091b762d2fac
https://doi.org/10.1117/12.821202
https://doi.org/10.1117/12.821202
Publikováno v:
SPIE Proceedings.
Efficient Global Optimization (EGO) is a competent evolutionary algorithm suited for problems with limited design parameters and expensive cost functions [1]. Many electromagnetics problems, including some antenna designs, fall into this class, as co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2a88a7e4cdc8ee28a7f47350feb339
https://doi.org/10.1117/12.782997
https://doi.org/10.1117/12.782997
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