Thinned planar array design using boolean PSO with velocity mutation. Deligkaris, K., V., Zaharis, Z., D., Kampitaki, D., G., Goudos, S., K., Rekanos, I., T., & Spasos, M., N. IEEE Transactions on Magnetics, 45(3):1490-1493, 2009.
doi  abstract   bibtex   
The design of thinned planar microstrip arrays under specific constraints concerning the impedance-matching condition of the array elements and the radiation pattern is presented. The radiation characteristics of the structure are extracted by applying the method-of-moments. The array design is based on a novel optimization method, which is a modified version of the boolean particle swarm optimization that employs velocity mutation (BPSO-vm). Apart from the optimization of the array geometry, the proposed method is applicable to other discrete-variable optimization problems. Moreover, the planar array design is coped with by means of other techniques, namely, a binary coded Genetic Algorithm, the binary Particle Swarm Optimization, and the Boolean PSO. The comparison of the above methods and the BPSO-vm shows the efficiency of the proposed technique. © 2006 IEEE.
@article{
 title = {Thinned planar array design using boolean PSO with velocity mutation},
 type = {article},
 year = {2009},
 keywords = {Artificial immune system,Particle swarm optimization (PSO),Planar arrays,Thinned arrays},
 pages = {1490-1493},
 volume = {45},
 id = {6ce6ac36-8482-3b05-b990-d05bb0c87e68},
 created = {2020-02-29T16:57:45.121Z},
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 abstract = {The design of thinned planar microstrip arrays under specific constraints concerning the impedance-matching condition of the array elements and the radiation pattern is presented. The radiation characteristics of the structure are extracted by applying the method-of-moments. The array design is based on a novel optimization method, which is a modified version of the boolean particle swarm optimization that employs velocity mutation (BPSO-vm). Apart from the optimization of the array geometry, the proposed method is applicable to other discrete-variable optimization problems. Moreover, the planar array design is coped with by means of other techniques, namely, a binary coded Genetic Algorithm, the binary Particle Swarm Optimization, and the Boolean PSO. The comparison of the above methods and the BPSO-vm shows the efficiency of the proposed technique. © 2006 IEEE.},
 bibtype = {article},
 author = {Deligkaris, Kosmas V. and Zaharis, Zaharias D. and Kampitaki, Dimitra G. and Goudos, Sotirios K. and Rekanos, Ioannis T. and Spasos, Michalis N.},
 doi = {10.1109/TMAG.2009.2012687},
 journal = {IEEE Transactions on Magnetics},
 number = {3}
}

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