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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.
Czasopismo
Rocznik
Tom
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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