Abstract
In modern communication systems, optimizing antenna phase is crucial for improving signal quality and reducing interference. Genetic algorithms (GAs) are frequently employed for this purpose due to their ability to avoid local minima and identify global solutions within large search spaces. This survey provides a comprehensive review of existing research on antenna phase optimization using genetic algorithms. It examines the strengths and weaknesses of current techniques, analyzes various methodologies and their outcomes reported in the literature, and critically compares the performance of genetic algorithms with other optimization methods. This survey aims to guide future research and serve as an extensive resource for engineers and researchers in the field.