Thinned Planar Array Design Using Boolean PSO With Velocity Mutation

• Published in: IEEE transactions on magnetics Vol. 45; no. 3; pp. 1490 - 1493
• Main Authors: Deligkaris, Kosmas V., Zaharis, Zaharias D., Kampitaki, Dimitra G., Goudos, Sotirios K., Rekanos, Ioannis T., Spasos, Michalis N.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.03.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Arrays; Artificial immune system; Boolean algebra; Cross-disciplinary physics: materials science; rheology; Design methodology; Exact sciences and technology; Genetic algorithms; Genetic mutations; Geometry; Impedance; Magnetism; Materials science; Microstrip antenna arrays; Moment methods; Mutations; Optimization; Optimization methods; Other topics in materials science; Particle swarm optimization; particle swarm optimization (PSO); Physics; Planar arrays; thinned arrays; Design; planar arrays; particle swarm optimization (PSO); Velocity; Artificial immune system; thinned arrays; Magnetic properties
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2009.2012687

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.