Abstract—This paper introduces an advanced beamformer that utilizes Constraint Handling Techniques (CHTs) and metaheuristic algorithms for pattern nulling in a Uniformly Spaced Linear Array (ULA), effectively positioning imposed nulls in the directions of interference. We explore four scenarios of ULA patterns with preset nulls, employing the Adaptive Penalty Technique (APT) and comparing the results with the Original Feasibility Rules Technique (OFRT) to validate our approach. The proposed beamformer, utilizing CHTs, demonstrates remarkable capabilities in suppressing side beams, maintaining a predetermined beam width, and accurately placing single, multiple, and broad nulls at arbitrary interference directions. Additionally, our findings indicate that the beamformer using APT is more efficient than the one using OFRT, particularly in terms of convergence speed during sample synthesis. This study underscores how integrating CHTs with metaheuristic algorithms enhances the optimization of beamforming in advanced antenna systems, thereby improving signal processing and communication system performance in various real-world applications.