A versatile software tool for microwave planar radar absorbing materials design using global optimization algorithms

被引:25
|
作者
Goudos, Sotirios K. [1 ]
机构
[1] Aristotle Univ Thessaloniki, Telecommun Ctr, GR-54124 Thessaloniki, Greece
关键词
microwave multi-layer absorber design; Radar absorbing materials; CAD tool; particle swarm optimization; GENETIC ALGORITHM; COMPUTATION;
D O I
10.1016/j.matdes.2006.10.016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A computer-aided design (CAD) tool for the design of planar multi-layer coatings with high absorption for a desired frequency and angle range is presented. The tool uses deterministic and evolutionary optimization design methods. Both single and multi-objective design algorithms can be used and a single absorber design or the Pareto front can be found accordingly. A novel design technique utilizing PSO is also presented. A user-defined or a pre-defined design case can be selected interchangeably. The choice of selecting materials from pre-defined database is also available. The tool can be useful for both educational and research purposes. The efficiency of the tool is demonstrated through several design cases that are in agreement with existing literature data. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2585 / 2595
页数:11
相关论文
共 39 条
  • [31] Design of code division multiple access filters based on sampled fiber Bragg grating by using global optimization algorithms
    Benjamin Ivorra
    Bijan Mohammadi
    Angel Manuel Ramos
    Optimization and Engineering, 2014, 15 : 677 - 695
  • [32] Design of code division multiple access filters based on sampled fiber Bragg grating by using global optimization algorithms
    Ivorra, Benjamin
    Mohammadi, Bijan
    Ramos, Angel Manuel
    OPTIMIZATION AND ENGINEERING, 2014, 15 (03) : 677 - 695
  • [33] Design method for large zoom ratio freeform reflective zoom systems based on initial configuration optimization using global algorithms
    Qi, Yunzhen
    Meng, Qingyu
    Wang, Jiangnan
    Optics Express, 2025, 33 (03) : 5134 - 5146
  • [34] Design of phase-only reconfigurable planar array antenna in selected phi cuts using various meta-heuristic optimization algorithms
    D Jamunaa
    G K Mahanti
    Feras Nadhim Hasoon Al Attar
    Sādhanā, 2019, 44
  • [35] Design of phase-only reconfigurable planar array antenna in selected phi cuts using various meta-heuristic optimization algorithms
    Jamunaa, D.
    Mahanti, G. K.
    Al Attar, Feras Nadhim Hasoon
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2019, 44 (04):
  • [36] A computer-aided design tool dedicated to isolated DC-DC converters based on multiobjective optimization using genetic algorithms
    Versele, Christophe
    Deblecker, Olivier
    Lobry, Jacques
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2012, 31 (02) : 583 - 603
  • [37] Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms
    Nandi, Arup Kumar
    Datta, Shubhabrata
    Deb, Kalyanmoy
    SOFT COMPUTING, 2012, 16 (06) : 989 - 1008
  • [38] A framework for low-carbon mix design of recycled aggregate concrete with supplementary cementitious materials using machine learning and optimization algorithms
    Golafshani, Emadaldin Mohammadi
    Behnood, Ali
    Kim, Taehwan
    Ngo, Tuan
    Kashani, Alireza
    STRUCTURES, 2024, 61
  • [39] Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms
    Arup Kumar Nandi
    Shubhabrata Datta
    Kalyanmoy Deb
    Soft Computing, 2012, 16 : 989 - 1008