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To solve complex antenna design problems, this article proposes a hybrid differential evolution algorithm (DE). The proposed method combines the DE with the simplified quadratic interpolation (SQI) to optimize the performance of the antenna. The DE is the global optimizer, and the SQI is used to fine tune. The hybrid DE is demonstrated on optimizing designing Yagi‐Uda antennas and wideband patch antennas. Numerical results confirm that the proposed method is superior to or at least competitive with the original DE and other evolutionary algorithms in terms of convergence speed and solution quality. © 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE 2010. 相似文献
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在常规粒子群算法的基础上,通过引入新的速度更新算子、自适应边界控制算子和全局最优粒子扰动算子等操作,提出一种改进粒子群优化算法(IPSO); 并将该算法与简单二次插值算法相结合,克服了收敛速度慢,早熟及局部收敛等缺陷．进一步在对球面共形相控阵方向图综合时,引入了修正的波恩斯坦多项式以减少优化的变量,能够有效地加快算法的收敛速度．与常规粒子群算法和遗传算法的比较结果表明,该算法的局部搜索能力和全局搜索能力都有了很大程度的改善,从而证明了该方法在天线阵列综合中的有效性． 相似文献