Optimization of Cassegrain Systems Using Genetic Algorithms

被引:0
|
作者
Santos Rodriguez, Carlos [1 ]
Aday Martinez, Ana Teresa [2 ]
机构
[1] Inst Meteorol, Serv Vigilancia Meteorol, Ingn Telecomunicac & Elect, Havana, Cuba
[2] Union Elect UNE, Empresa Generac Distribuida, Ingn Telecomunicac & Elect, Havana, Cuba
来源
REVISTA CUBANA DE INGENIERIA | 2012年 / 3卷 / 01期
关键词
optimization; multi-objective GA; Cassegrain system; central blockage; blockage loss;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper is a proposal for optimization of a parabolic radiation system, in its variant Cassegrain, using Genetic Algorithms (GA). This new mathematical tool breaks through today in the field of electromagnetism, coming to be used as a successful way of solving problems of various antennas. In recent years there have appeared different softwares implementing the GA, this is the case of MATLAB 7.8.0. This software is used in this material to optimize a phenomenon that limits the good performance of the Cassegrain system, central blockage. The article is an attempt to introduce the use of the AG and its ability to multi-objective optimization of these systems, without any references of this topic in our country. It also uses reflectors analysis tool ICARA, which allows the simulation of radiation characteristics of different configurations of parabolic antennas for further analysis.
引用
收藏
页码:63 / 69
页数:7
相关论文
共 50 条
  • [1] Hybrid systems optimization using genetic algorithms
    Tian, JM
    Huang, JW
    Zhao, CJ
    [J]. 1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2, 1997, : 579 - 583
  • [2] Vehicle thermal systems optimization using genetic optimization algorithms
    Aute, VC
    Richardson, D
    Radermacher, R
    Hager, J
    [J]. VTMS 6: VEHICLE THERMAL MANAGEMENT SYSTEMS, 2003, : 707 - 716
  • [3] OPTIMIZATION OF ELECTROSTATIC LENS SYSTEMS USING GENETIC ALGORITHMS
    Nezhad, N. Hesam Mahmoudi
    Niasar, M. Ghaffarian
    Gheidari, A. Mohammadi
    Janssen, T.
    Hagen, C. W.
    Kruit, P.
    [J]. RECENT TRENDS IN CHARGED PARTICLE OPTICS AND SURFACE PHYSICS INSTRUMENTATION, 2018, : 24 - 24
  • [4] Optimization of PV Battery Systems Using Genetic Algorithms
    Magnor, Dirk
    Sauer, Dirk Uwe
    [J]. 10TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2016, 2016, 99 : 332 - 340
  • [5] Optimization models of sound systems using genetic algorithms
    Ke, JY
    Ogura, M
    Wang, WSY
    [J]. COMPUTATIONAL LINGUISTICS, 2003, 29 (01) : 1 - 18
  • [6] Cost optimization of consignment systems using genetic algorithms
    Grünz, L
    Heinz, K
    [J]. OPERATIONS RESEARCH PROCEEDINGS 1999, 2000, : 461 - 466
  • [7] Sequences optimization in DS/CDMA systems using genetic algorithms
    Chan, TM
    Kwong, S
    Man, KF
    Tang, KS
    [J]. IEEE REGION 10 INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC TECHNOLOGY, VOLS 1 AND 2, 2001, : 728 - 731
  • [8] Optimization of Water Distribution Systems Using Genetic Algorithms: A Review
    Parvaze, Sabah
    Kumar, Rohitashw
    Khan, Junaid Nazir
    Al-Ansari, Nadhir
    Parvaze, Saqib
    Vishwakarma, Dinesh Kumar
    Elbeltagi, Ahmed
    Kuriqi, Alban
    [J]. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2023, 30 (07) : 4209 - 4244
  • [9] Optimization design of multibody systems by using genetic algorithms.
    Datoussaid, S
    Hadjit, R
    Verlinden, O
    Conti, C
    [J]. VEHICLE SYSTEM DYNAMICS, 1998, 29 : 704 - 710
  • [10] OPTIMIZATION OF POWER SYSTEMS USING REAL CODED GENETIC ALGORITHMS
    Deep, Kusum
    [J]. INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION, 2008, 1052 : 5 - 16