Hybrid differential evolution with artificial bee colony and its application for design of a reconfigurable antenna array with discrete phase shifters

被引:21
|
作者
Li, X. [1 ]
Yin, M. [1 ]
机构
[1] NE Normal Univ, Coll Comp Sci, Changchun 130117, Peoples R China
关键词
PARTICLE SWARM OPTIMIZATION; PATTERN SYNTHESIS; ALGORITHM;
D O I
10.1049/iet-map.2011.0611
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
This study proposes a new method of designing a reconfigurable antenna with quantised phase excitations using a new hybrid algorithm, called as differential evolution algorithm (DE)/artificial bee colony algorithm (ABC). The main objective of the reconfigurable design problem is to find the element excitation that will result in a sector pattern main beam with low side lobes. The same excitation amplitudes applying to the array with zero phase should be in a high directivity and low side lobe pencil-shaped main beam. The dynamic range ratio is minimised to reduce the effect of mutual coupling between the antenna-array elements. Additionally, compared with the continuous realisation and subsequent quantisation, experimental results indicate that the performance of the discrete realisation of the phase-excitation value can be improved. In order to test the performances of hybrid differential evolution with the artificial bee colony algorithm, the results of some state-of-the-art algorithms are considered. The experimental results indicate the better performance of the DE/ABC.
引用
收藏
页码:1573 / 1582
页数:10
相关论文
共 49 条
  • [1] Hybrid Differential Evolution with Biogeography-Based Optimization for Design of a Reconfigurable Antenna Array with Discrete Phase Shifters
    Li, Xiangtao
    Yin, Minghao
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2011, 2011
  • [2] Design of multiobjective reconfigurable antenna array with discrete phase shifters using multiobjective differential evolution based on decomposition
    Li, Xiangtao
    Yin, Minghao
    INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2012, 22 (06) : 675 - 681
  • [3] Clonal selection algorithm for design of reconfigurable antenna array with discrete phase shifters
    Akdagli, A.
    Guney, K.
    Babayigit, B.
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2007, 21 (02) : 215 - 227
  • [4] Genetic-algorithm-based design of a reconfigurable antenna array with discrete phase shifters
    Baskar, S
    Alphones, A
    Suganthan, PN
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2005, 45 (06) : 461 - 465
  • [5] Hybrid Artificial Bee Colony algorithm with Differential Evolution
    Jadon, Shimpi Singh
    Tiwari, Ritu
    Sharma, Harish
    Bansal, Jagdish Chand
    APPLIED SOFT COMPUTING, 2017, 58 : 11 - 24
  • [6] Antenna Design by an Adaptive Variable Differential Artificial Bee Colony Algorithm
    Zhang, Xin
    Zhang, Xiu
    Wang, Lei
    IEEE TRANSACTIONS ON MAGNETICS, 2018, 54 (03)
  • [7] A hybrid approach of differential evolution and artificial bee colony for feature selection
    Zorarpaci, Ezgi
    Ozel, Selma Ayse
    EXPERT SYSTEMS WITH APPLICATIONS, 2016, 62 : 91 - 103
  • [8] An Opposition-Based Hybrid Artificial Bee Colony with Differential Evolution
    Worasucheep, Chukiat
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 2611 - 2618
  • [9] Design of Compact Reconfigurable Switched Line Microstrip Phase Shifters for Phased Array Antenna
    Anand, Puneet
    Sharma, Sonia
    Sood, Deepak
    Tripathi, C. C.
    2012 1ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGY TRENDS IN ELECTRONICS, COMMUNICATION AND NETWORKING (ET2ECN), 2012,
  • [10] A HYBRID METHOD BASED ON DIFFERENTIAL EVOLUTION AND CONTINUOUS ANT COLONY OPTIMIZATION AND ITS APPLICATION ON WIDEBAND ANTENNA DESIGN
    Chang, L.
    Liao, C.
    Lin, W. B.
    Chen, L. -L.
    Zheng, X.
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2012, 122 : 105 - 118