• Comparison of different heuris...

Treffer: Comparison of different heuristic optimization methods for near-field antenna measurements

Title:
Comparison of different heuristic optimization methods for near-field antenna measurements
Authors:
PEREZ, Jesus Ramon, BASTERRECHEA, José
Source:
IEEE transactions on antennas and propagation. 55(3):549-555
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2007.
Publication Year:
2007
Physical Description:
print, 28 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Télécommunications, Telecommunications, Radiocommunications, Antennes, Antennas, Algorithme génétique, Genetic algorithm, Algoritmo genético, Antenne ouverture, Aperture antenna, Antena abertura, Antenne réceptrice, Receiving antenna, Antena receptriz, Biomimétique, Biomimetics, Calcul évolutionniste, Evolutionary computation, Champ lointain, Far field, Campo lejano, Champ proche, Near field, Campo próximo, Codage binaire, Binary coding, Codificación binaria, Compatibilité électromagnétique, Electromagnetic compatibility, Compatibilidad electromagnética, Diagramme rayonnement antenne, Antenna radiation patterns, Diagramme rayonnement, Radiation pattern, Diagrama radiación, Evaluation performance, Performance evaluation, Evaluación prestación, Mise à jour, Updating, Actualización, Méthode globale locale, Global local method, Método global local, Méthode heuristique, Heuristic method, Método heurístico, Optimisation essaim particule, Swarm intelligence, Optimización enjambre partícula, Reconstruction image, Image reconstruction, Reconstrucción imagen, Recuit simulé, Simulated annealing, Recocido simulado, Traitement image, Image processing, Procesamiento imagen, Genetic algorithms (GAs), near-field to far-field (NF-FF) transformation, particle swarm optimization (PSO), simulated annealing (SA)
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Communications Engineering, ETSIIT, Universidad de Cantabria, 39005 Santander, Spain
ISSN:
0018-926X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18599322
Rights:
Copyright 2007 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:
Telecommunications and information theory
Accession Number:
edscal.18599322
Database:
PASCAL Archive

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A comparison between different modern heuristic optimization methods applied to antenna far-field radiation pattern reconstruction from planar near-field data is presented in this paper. The antenna under test is represented by means of equivalent magnetic currents (EMC) whose components are optimized using several heuristic algorithms such as simulated annealing (SA), genetic algorithms (GA), and particle swarm optimization (PSO), as well as a traditional local optimization method, the Nelder Mead downhill simplex algorithm. Several schemes for GA (classical real-valued and binary encoding, and their hybrid versions) and PSO (global or local topologies with synchronous or asynchronous updates of the swarm) have been considered in the analysis and the pros and cons of each one are reported and discussed. A study of the performance and limitations of each algorithm using as a canonical problem a small size antenna aperture, along with results of near-field to far-field (NF-FF) transformation are also included.