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.
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