A Multiobjective Genetic Algorithm for Analysis, Design and Optimization of Antipodal Vivaldi Antennas

被引：0
|
作者：
Antonio Pumallica-Paro, Marco [1 ]
Luis Arizaca-Cusicuna, Jorge [1 ]
Clemente-Arenas, Mark [2 ]
机构：
[1] Univ Nacl San Antonio Abad Cusco, Escuela Profes Ingn Elect, Cuzco, Peru
[2] Univ Nacl Ingn INICTEL UNI, Inst Nacl Invest & Capacitac Telecomunicac, DIDT, Grp Radio Frecuencia Microondas & Opt G RFMO, Av San Luis 1771, Lima 41, Peru
来源：
PROCEEDINGS OF THE 2019 9TH IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (IEEE APWC' 19) | 2019年
关键词：
Multi-Objective Genetic Algorithm; Antipodal Vivaldi Antennas; Ground Penetrating Radar;
D O I：
10.1109/apwc.2019.8870420
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In the this contribution, a Multi-Objective Genetic Algorithm (MOGA) was implemented to analyze, design and optimize several Antipodal Vivaldi Antennas (AVA) that are being used on Ground Penetration Radars (GPR) applications. This algorithm was implemented and used as an optimization tool in a commercial available software. Directivity, lower cutoff frequency (LCF), bandwidth and cross-polarization were the objectives to be optimized. For the use of the MOGA, the 3D model of the antenna is built in the simulator. Some of its parameters are defined as variables, as the dimensions and shape of the antenna (Individual) depend on the value that its parameters (Genes) take. This work proves to be simple and time saving tool to optimize parameters in a geometry changing system as GPR.
引用
收藏
页码：316 / 321
页数：6
相关论文
共 50 条
  • [31] A genetic algorithm for constrained and multiobjective optimization
    Camponogara, E
    Talukdar, SN
    [J]. PROCEEDINGS OF THE THIRD NORDIC WORKSHOP ON GENETIC ALGORITHMS AND THEIR APPLICATIONS (3NWGA), 1997, : 49 - 61
  • [32] DESIGN OPTIMIZATION OF SUBMERSIBLE INDUCTION MOTORS by MULTIOBJECTIVE FUZZY GENETIC ALGORITHM
    Cunkas, Mehmet
    Urkmez, Abdullah
    [J]. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2008, 23 (03): : 645 - 653
  • [33] A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design
    Oltean, Gabriel
    Hintea, Sorin
    Sipos, Emilia
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II, PROCEEDINGS, 2009, 5712 : 506 - 514
  • [34] On maximizing solution diversity in a multiobjective multidisciplinary genetic algorithm for design optimization
    Gunawan, S
    Farhang-Mehr, A
    Azarm, S
    [J]. MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2004, 32 (04) : 491 - 514
  • [35] A Miniaturized and High-Gain Antipodal Vivaldi Antennas Using Directors
    Ibrahim, Islam M.
    Ahmed, Mohamed I.
    Abdelkader, Hala M.
    Al-Gburi, Ahmed Jamal Abdullah
    Elsherbini, Moataz M.
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2024, 118 : 85 - 92
  • [36] Simulation of Two Compact Antipodal Vivaldi Antennas With Radiation Characteristics Enhancement
    Ying, Qiancheng
    Dou, Wenbin
    [J]. 2013 PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), VOLS 1 AND 2, 2013,
  • [37] Design of Multibeam Dielectric Lens Antennas by Multiobjective Optimization
    Maruyama, Takashi
    Yamamori, Kazuki
    Kuwahara, Yoshihiko
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2009, 57 (01) : 57 - 63
  • [38] ANALYSIS OF VIVALDI ANTENNAS
    HUANG, JX
    FAN, ZB
    [J]. SIXTH INTERNATIONAL CONFERENCE ON ANTENNAS AND PROPAGATION ( ICAP 89 ), PARTS 1-2, 1989, 301 : A206 - A208
  • [39] A genetic algorithm for multiobjective robust design
    Forouraghi, B
    [J]. APPLIED INTELLIGENCE, 2000, 12 (03) : 151 - 161
  • [40] A Genetic Algorithm for Multiobjective Robust Design
    B. Forouraghi
    [J]. Applied Intelligence, 2000, 12 : 151 - 161
12345