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Application of the PSO Algorithm with Sub-domain Approach for the Optimization of a Radio Telescope Array

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Języki publikacji
EN
Abstrakty
EN
In this research a modified PSO (Particle Swarm Optimization) algorithm was applied to solve an optimization problem of a radio telescope array distribution. The objective of the proposed algorithm was to determine locations of the telescopes on a circle so that the entire array gained its maximal resolving power. A modification of the algorithm relied on the division of the domain into sub-domains. Furthermore, while the initial population was generated the particles were divided into groups. In the initial iterations, each group was moving only inside a subdomain previously assigned to this group thus making the distribution of the whole swarm more homogenous. This paper presents an evaluation of the efficiency of the proposed algorithm.
Rocznik
Strony
7--14
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
autor
  • Institute of Computer Science, Technical University of Łódź ul. Wólczańska 215, 93-005 Łódź, Poland, bozena@ics.p.lodz.pl
Bibliografia
  • [1] Hassan R., Cohanim B., Weck O.: A Comparison of Particle Swarm Optimization and the Genetic Algorithm, AIAA, Austin, Texas, 2005.
  • [2] Mahmoud K.R., EL-Adawy M., Ibrahem M.M.: A Comparison Between Circular and Hexagonal Array Geometries for Smart Antenna Systems Using Particie Swarm Optimization Algorithm, Progress In Electromagnetics Research, vol. 72, pp. 75-90, 2007.
  • [3] Cornwell T.: A Novel Principle for Optimization of the Instantaneous Fourier Plane Coverage of Correlation Arrays, IEEE Transactions on Antennas and Propagation, AP, vol. 36, no. 8, pp. 1165, 1988.
  • [4] Kennedy J., Eberhart R.: Particle Swarm Optimization, IEEE International Conference on Neural Networks IV, Piscataway, NJ, pp.1942-1948, 1995.
  • [5] Robinson J., Rahmat-Samii Y.: Particle Swarm Optimization in Electromagnetics, IEEE Transactions on Antennas and Propagation, vol. 52, no. 2, pp. 397-407, 2004.
  • [6] Gies D., Rahmat-Samii Y.: Particle Swarm Optimization for Reconfigurable Phase -Differentiated Array Design, Microwave and Optical Technology Letters, vol. 38, no. 3, pp. 168-175, 2003.
  • [7] Boeringer D.W., Werner D.H.: Particle Swarm Optimization Versus Genetic Algorithms for Phased Array Synthesis, IEEE Transactions on Antennas and Propagation, vol. 52, no. 3, pp. 771-779, 2004.
  • [8] Chen T.B., Chen Y.B., Jiao Y.C., Zhang F. S.: Synthesis of Antenna Array Rusing Particle Swarm Optimization, Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings.
  • [9] Khodier M.M., Christodoulou C.G.: Linear Array Geometry Synthesis with Minimum Sidelobe Level and Null Control Using Particle Swarm Optimization, IEEE Transactions on Antennas and Propagation, vol. 53, no. 8, pp. 2674-2679, 2005.
  • [10] Donelli M., Azaeo R., Natale F.G.B., Massa A.: An Innovative Computational Approach Based on a Particle Swarm Strategy for Adaptive Phased-Arrays Control, IEEE Transactions on Antennas and Propagation, vol. 54, no. 3, pp. 888-898, 2006.
  • [11] Shi Y.H., Eberhart R.C.: A modified particle swarm optimizer, IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 1998.
  • [12] Genovesi S., Monorchio A., Mittra R., Manara G.: A Sub-Boundary Approach for Enhanced Particle Swarm Optimization and its Application to the Design of Artificial Magnetic Conductors, IEEE Transactions on Antennas and Propagation, vol. 55, no. 3, pp. 766-770, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD5-0012-0001
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