Treffer: Evolutionary optimization of Yagi-Uda antennas

Title:
Evolutionary optimization of Yagi-Uda antennas
Authors:
LOHN, Jason D, KRAUS, William F, LINDEN, Derek S, COLOMBANO, Silvano P
Source:
Evolvable systems : from biology to hardware (Tokyo, 3-5 October 2001)Lecture notes in computer science. :236-243
Publisher Information:
Berlin: Springer, 2001.
Publication Year:
2001
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Optimisation. Problèmes de recherche, Optimization. Search problems, Telecommunications et theorie de l'information, Telecommunications and information theory, Télécommunications, Telecommunications, Radiocommunications, Antennes, Antennas, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Antenne télévision, Television antenna, Antena televisión, Antenne, Antenna, Antena, Interférence onde, Wave interference, Interferencia onda, Optimisation, Optimization, Optimización
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computational Sciences Division, NASA Ames Research Center, Mail Stop 269-1, Moffett Field, CA 94035-1000, United States
Linden Innovation Research, P.O. Box 1601, Ashburn, VA, 20146, United States
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=14046981
Rights:
Copyright 2002 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management

Telecommunications and information theory
Accession Number:
edscal.14046981
Database:
PASCAL Archive

Weitere Informationen

Yagi-Uda antennas are known to be difficult to design and optimize due to their sensitivity at high gain, and the inclusion of numerous parasitic elements. We present a genetic algorithm-based automated antenna optimization system that uses a fixed Yagi-Uda topology and a byte-encoded antenna representation. The fitness calculation allows the implicit relationship between power gain and sidelobe/backlobe loss to emerge naturally, a technique that is less complex than previous approaches. The genetic operators used are also simpler. Our results include Yagi-Uda antennas that have excellent bandwidth and gain properties with very good impedance characteristics. Results exceeded previous Yagi-Uda antennas produced via evolutionary algorithms by at least 7.8% in mainlobe gain. We also present encouraging preliminary results where a coevolutionary genetic algorithm is used.