This paper analyzes the cuckoo search algorithm (CSA) for optimizing planar antenna arrays, aiming to enhance performance in terms of gain, directivity, and reduce side lobes. Compared to other nature-inspired optimization methods like genetic algorithms and particle swarm optimization, CSA is shown to outperform in producing better configurations for antenna arrays. The findings highlight CSA’s effective application in modern communication technologies, with a focus on practical implementation and theoretical aspects.