Comparison of evolutionary algorithms for LPDA antenna optimization

被引：16

作者：

Lazaridis, Pavlos I. ^{[1
]}

Tziris, Emmanouil N. ^{[2
]}

Zaharis, Zaharias D. ^{[3
]}

Xenos, Thomas D. ^{[3
]}

Cosmas, John P. ^{[2
]}

Gallion, Philippe B. ^{[4
]}

Holmes, Violeta ^{[1
]}

Glover, Ian A. ^{[1
]}

机构：

[1] Univ Huddersfield, Dept Engn & Technol, Huddersfield, W Yorkshire, England

[2] Brunel Univ, Dept Elect & Comp Engn, Dept Engn & Technol, London, England

[3] Aristotle Univ Thessaloniki, Dept Telecommun, Thessaloniki, Greece

[4] ENST Telecom ParisTech, CNRS, LTCI, Paris, France

来源：

RADIO SCIENCE | 2016年 / 51卷 / 08期

关键词：

INVASIVE WEED OPTIMIZATION; PARTICLE-SWARM OPTIMIZATION; DESIGN; ARRAY; GAIN;

D O I：

10.1002/2015RS005913

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

A novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using Numerical Electromagnetics Code. The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, front-to-rear ratio (F/R) and standing wave ratio. The parameters of the LPDA optimized are the dipole lengths, the spacing between the dipoles, and the dipole wire diameters. The evolutionary algorithms compared are the Differential Evolution (DE), Particle Swarm (PSO), Taguchi, Invasive Weed (IWO), and Adaptive Invasive Weed Optimization (ADIWO). Superior performance is achieved by the IWO (best results) and PSO (fast convergence) algorithms.

引用

页码：1377 / 1384

页数：8

共 50 条

[1] Comparison of evolutionary algorithms for LPDA antenna optimization
Lazaridis, Pavlos I.
Tziris, Emmanouil N.
Zaharis, Zaharias D.
Xenos, Thomas D.
Cosmas, John P.
Gallion, Philippe B.
Holmes, Violeta
Glover, Ian A.
2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), 2015,
[2] Benchmark antenna problems for evolutionary optimization algorithms
Pantoja, Mario Fernandez
Bretones, Amelia Rubio
Martin, Rafael Gomez
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2007, 55 (04) : 1111 - 1121
[3] Comparison of Evolutionary Algorithms for design optimization
Jakob, W
Gorges-Schleuter, M
Sieber, I
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN V, 1998, 1498 : 917 - 926
[4] Optimization of a reflectarray antenna via hybrid evolutionary algorithms
Grimaccia, F.
Mussetta, M.
Pirinoli, P.
Zich, R. E.
2006 17TH INTERNATIONAL ZURICH SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, VOLS 1 AND 2, 2006, : 254 - +
[5] A Comparison of Evolutionary Algorithms on a Set of Antenna Design Benchmarks
Basak, Aniruddha
Lohn, Jason D.
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2013, : 598 - 604
[6] ON THE PARAMETRIC CURVES FOR THE DESIGN, PERFORMANCE OPTIMIZATION AND CHARACTERIZATION OF THE LPDA ANTENNA
Onwuegbuna, L. I.
Jimoh, A. A.
SAIEE AFRICA RESEARCH JOURNAL, 2009, 100 (04): : 104 - 112
[7] Comparison of multi-modal optimization algorithms based on evolutionary algorithms
Singh, Gulshan
Deb, Kalyanmoy
GECCO 2006: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2006, : 1305 - +
[8] Comparison of evolutionary algorithms in the task of chaos control optimization
Senkerik, Roman
Zelinka, Ivan
Davendra, Donald
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 3952 - 3958
[9] Evoptool: an Extensible Toolkit for Evolutionary Optimization Algorithms Comparison
Valentini, Gabriele
Malago, Luigi
Matteucci, Matteo
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
[10] Comparative study of broadcasting antenna array optimization using evolutionary algorithms
Lazaridis, Pavlos I.
Tziris, Emmanouil
Zaharis, Zaharias D.
Xenos, Thomas
Holmes, Violeta
Cosmas, John P.
Glover, Ian A.
2016 URSI ASIA-PACIFIC RADIO SCIENCE CONFERENCE (URSI AP-RASC), 2016, : 1299 - 1301

← 1 2 3 4 5 →