Abstract
In this paper, a bitwise evolutionary genetic algorithm GA is proposed to synthesize the power patterns of 4D antenna arrays efficiently. Within the binary optimized time sequences of 4D antenna arrays, the genes of 1 and 0 represent switch-on and switch-off period of antennas, respectively. Gene retention probability, which relates to the fitness values of each individual in the whole group, is proposed to evaluate how good each gene is. With the proposed gene retention probability, the crossover operator in traditional GA is replaced with a new method to generate the next generation. The proposed algorithm is applied to the synthesis of 4D antenna arrays with binary optimized time sequences, and the performance of the proposed algorithm is compared with that of traditional GA on the condition of the same parameter settings. The comparison results show that bitwise evolutionary GA improves the optimization efficiency significantly, which reduces the computation time as much as 85% on average of the traditional GA with the same goal. Copyright © 2014 John Wiley & Sons, Ltd.
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