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 50 条
  • [21] Multi-objective optimization for antenna design
    Poian, M.
    Poles, S.
    Bernasconi, F.
    Leroux, E.
    Steffe, W.
    Zolesi, M.
    2008 IEEE INTERNATIONAL CONFERENCE ON MICROWAVES, COMMUNICATIONS, ANTENNAS AND ELECTRONIC SYSTEMS, 2008, : 201 - +
  • [22] Evolutionary multi-objective integer programming for the design of adaptive cruise control systems
    Laumanns, N
    Laumanns, M
    Kitterer, H
    DEVELOPMENTS IN APPLIED ARTIFICAIL INTELLIGENCE, PROCEEDINGS, 2002, 2358 : 200 - 210
  • [23] Multi-objective hybrid optimization for micro strip patch antenna design
    Bommu, Samuyelu
    Rajalakshmi, R.
    Chincholkar, Yugendra D.
    Mohite, Utkarsha L.
    WEB INTELLIGENCE, 2023, 21 (04) : 451 - 472
  • [24] Using Simulation and the NSGA-II Evolutionary Multi-Objective Algorithm in the Design of a Compact Dual-band Equatorial Helix Antenna
    Moreno, Javier
    Gonzalez, Ivan
    Rodriguez, Daniel
    2017 6TH IEEE INTERNATIONAL CONFERENCE ON SPACE MISSION CHALLENGES FOR INFORMATION TECHNOLOGY (SMC-IT), 2017, : 56 - 60
  • [25] A Hybrid Framework for Evolutionary Multi-objective Optimization
    Sindhya, Karthik
    Miettinen, Kaisa
    Deb, Kalyanmoy
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2013, 17 (04) : 495 - 511
  • [26] Evolutionary multi-objective optimisation with a hybrid representation
    Okabe, T
    Jin, Y
    Sendhoff, B
    CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 2262 - 2269
  • [27] Multi-objective design optimization using cascade evolutionary computations
    Lagaros, ND
    Plevris, V
    Papadrakakis, M
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2005, 194 (30-33) : 3496 - 3515
  • [28] Intelligent zoning design using multi-objective evolutionary algorithms
    Radtke, PVW
    Oliveira, LS
    Sabourin, R
    Wong, T
    SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 824 - 828
  • [29] Robust design optimisation using multi-objective evolutionary algorithms
    Lee, D. S.
    Gonzalez, L. F.
    Periaux, J.
    Srinivas, K.
    COMPUTERS & FLUIDS, 2008, 37 (05) : 565 - 583
  • [30] Design optimization of double-acting hybrid magnetic thrust bearings with control integration using multi-objective evolutionary algorithms
    Rao, Jagu S.
    Tiwari, R.
    MECHATRONICS, 2009, 19 (06) : 945 - 964
12345