Title :
Multi-objective Particle Swarm Optimization for High Performance Array and Reflector Antennas
Author :
Xu, Shenheng ; Rahmat-Samii, Yahya
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA
Abstract :
In this paper, multi-objective particle swarm optimization (MOPSO) is studied by applying it to two complex multi-objective electromagnetic problems: a 16-element array antenna synthesized for a tradeoff between the beam efficiency and the half-power beam width, and a single shaped reflector antenna optimized for higher gains of multiple feeds. In both cases, the Pareto fronts are successfully detected by the algorithm. It is concluded that the MOPSO is another powerful optimizing tool for electromagnetics designers
Keywords :
Pareto optimisation; antenna arrays; electromagnetic wave propagation; particle swarm optimisation; reflector antennas; 16-element array antenna; Pareto fronts; beam efficiency; complex multi-objective electromagnetic problems; half-power beam width; high performance array; multi-objective particle swarm optimization; multiple feeds; single shaped reflector antenna; Antenna arrays; Antenna feeds; Antenna measurements; Beams; Design optimization; Electric variables measurement; Electromagnetics; Particle swarm optimization; Phased arrays; Reflector antennas;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1711316
