Reconfigurable antenna design optimization based on improved quantum genetic algorithm

A practical reconfigurable antenna (RA), usually equipped with multiple switches, has a high real-time requirement for the optimization algorithm. In this paper, an improved quantum genetic algorithm (IQGA) is proposed to deal with the optimization problem of the RA. The algorithm codes the chromosome with probability amplitudes represented by sine and cosine functions, and uses an adaptive strategy of the rotation angle to update the population. Then the mutation operation is considered in this improved quantum genetic algorithm. By using the IQGA combined with hybrid full-wave/network analysis approach, the fast optimization design for the reconfigurable antenna is realized. Simulation results on the optimization of a 39-switch RA show that the proposed fast reconfigurable antenna design optimization method is superior performance.