The increasing demand for solutions to daily problems in the most efficient way has led to the exploration of new and innovative proposals and tools to maximize resources. In this context, the present work studies and extracts some optimization techniques to optimize antenna geometries, with the aim of shaping a new geometry that will revolutionize antenna design. The 3D-dimensional array will be addressed from its conception through its development until its operation can be observed. Later, it will be applied to a problem and evaluated to determine the best. The innovative nature of these optimization techniques, not explicitly adapted for optimizing this problem design, will be highlighted. This work is dedicated to advancing our understanding of antenna design and optimization. By leveraging the multi-objective optimization technique, we aim to develop new knowledge in the geometry of arrays using UAVs. Our goal is to achieve the best positions that develop the maximum directivities and the lowest levels of side lobe designs of conventional antennas, all without increasing the weight or draining the batteries of the UAVs.