Efficient design of a double-band coplanar hybrid antenna using multi-objective evolutionary programming

被引：3
作者：
Sanchez-Montero, R. [1 ]
Lopez-Espi, P. [1 ]
Manjarres, D. [2 ]
Landa-Torres, I. [2 ]
Salcedo-Sanz, S. [1 ]
Del Ser, J. [2 ]
机构：
[1] Univ Alcala, Dept Signal Proc & Commun, Madrid 28805, Spain
[2] Tecnalia Res & Innovat, Zamudio, Bizkaia, Spain
来源：
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS | 2013年 / 26卷 / 06期
关键词：
multi-band antenna; hybrid PIFA-Patch; multi-objective evolutionary programming; CST; ALGORITHMS; NETWORK; OPTIMIZATION; MOBILE; SLOT;
D O I：
10.1002/jnm.1869
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose the optimization of the parameters of a hybrid antenna for wireless applications by using a multi-objective evolutionary programming (EP). Specifically, the antenna proposed is formed by a planar inverted-F antenna and a coplanar patch, in the same structure. The objective functions to carry out the optimization process are related to the antenna's bandwidth and the gain requirements in the wireless applications considered. In fact, the antenna is intended to be used in mobile and WIFI applications simultaneously. To be concise, we have utilized an improved fast EP optimization approach that includes a selection mechanism based on nondominated ranking procedure with crowding distance to maintain diversity in the population. In the experimental part of the paper, we show that the multi-objective EP-improved fast EP is able to obtain excellent results in the parameters' design of this hybrid device, with reasonable values of both bandwidth and gain values. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码：620 / 629
页数：10
相关论文
共 37 条
  • [1] [Anonymous], 2002, Evolutionary algorithms for solving multi-objective problems
  • [2] [Anonymous], 1984, Multiple objective optimization with vector evaluated genetic algorithms
  • [3] An Overview of Evolutionary Algorithms for Parameter Optimization
    Baeck, Thomas
    Schwefel, Hans-Paul
    [J]. EVOLUTIONARY COMPUTATION, 1993, 1 (01) : 1 - 23
  • [4] Balanis C. A., 2005, Antenna Theory: Analysis and Design, VThird
  • [5] A Multiobjective Evolutionary Programming Algorithm and Its Applications to Power Generation Expansion Planning
    Ceciliano Meza, Jose L.
    Yildirim, Mehmet Bayram
    Masud, Abu S. M.
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2009, 39 (05): : 1086 - 1096
  • [6] CPW-FED ANTENNA COVERING WIMAX 2.5/3.5/5.7GHz BANDS
    Chang, T. -N.
    Shen, G. -Y.
    Lin, J. -M.
    [J]. JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2010, 24 (2-3) : 189 - 197
  • [7] Improving conflicting specifications of time-modulated antenna arrays by using a multiobjective evolutionary algorithm
    Chen, Yikai
    Yang, Shiwen
    Nie, Zaiping
    [J]. INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2012, 25 (03) : 205 - 215
  • [8] Design of microwave structures with MEFISTO-3D NOVA and MATLAB optimization and neural network toolboxes
    Chu, Hong-Son
    So, Poman P. M.
    Hoefer, Wolfgang J. R.
    [J]. INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2007, 20 (1-2) : 55 - 64
  • [9] Shape optimization of multi-band antennas using the coupling between microgenetic algorithms and TLM method
    Chu, HS
    Dubard, JL
    Staraj, R
    [J]. INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2004, 17 (03) : 193 - 205
  • [10] Coello C. A. C., 2004, Applications of Multi-Objective Evolutionary Algorithms, V1
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