Title :
Optimal Antenna Design With QPSO–QN Optimization Strategy
Author :
Ji Bin Liu ; Zhong Xiang Shen ; Yi Long Lu
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A new optimization strategy with the ability of global searching and rapid convergence is proposed for optimal antenna design with multiple parameters. The strategy combines the quantum-behaved particle swarm optimization (QPSO) algorithm with the quasi-Newton (QN) method. The QN is employed after QPSO in order to overcome the premature and to achieve a higher accuracy. The method is demonstrated by optimizing a circularly polarized microstrip antenna with five parameters.
Keywords :
Newton method; UHF antennas; convergence of numerical methods; design engineering; microstrip antennas; particle swarm optimisation; search problems; QPSO-QN optimization strategy; circularly polarized microstrip antenna; global searching; multiple parameters; optimal antenna design; quantum-behaved particle swarm optimization algorithm; quasiNewton method; rapid convergence; Antenna radiation patterns; Electromagnetics; Microstrip; Microstrip antennas; Optimization; Particle swarm optimization; Design optimization; Newton method; microstrip antennas; particle swarm optimization (PSO);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2013.2282358
