为高效实现微带天线的多频工作性能，本文提出了一种改进型小波变异鲶鱼粒子群优化（Improved Catfish Particle Swarm Optimization with Wavelet Mutation,ICPSOWM）算法对微带天线的贴片和底面的结构参数进行优化。该算法在传统粒子群优化算法的基础上融合混沌序列、鲶鱼粒子群优化算法、小波变异的优点，创新性地对全局最差解加以利用，使得其收敛速度和精度得到显著提升。通过三个基准测试函数比较验证，表明该算法在单峰和多峰问题上都表现出较佳的性能。最后，在ICPSOWM算法中加入重复位置检测单元后，成功优化出可工作于WLAN（2.4、5.2和5.6GHz）和WiMAX（3.5GHz）系统的四频点微带天线，且各频点对应的 分别达到-25.12、-17.03、-22.55和-14.12dB，证明了该算法在多频微带天线优化问题上具有可行性。

In order to efficiently design microstrip antennas, an improved catfish particle s-warm optimization with wavelet mutation(ICPSOWM) is proposed for optimizing the geometric parameters of the microstrip antenna to realize better reflection characteristics. The al-gorithm properly combines the advantages of chaotic sequence, CatfishPSO and wavelet m-utation, and applies the global worst solution innovatively, resulting in higher convergence speed and more accurate convergence. Compared to some other algorithms with three ben-chmark test functions, ICPSOWM algorithm exhibits better performance in both low-dime-nsional and high-dimensional situations. Most importantly, after repeated position checking unit is added, a quad-band microstrip antenna operating in WLAN(2.4, 5.2 and 5.6GHz) a-nd WiMAX(3.5GHz) systems is successfully optimized using ICPSOWM algorithm. The r-eflection values achieve -25.12, -17.03, -22.55 and -14.12dB respectively. It confirms the f-easibility of the proposed algorithm in optimizing multiband microstrip antennas.