This paper uses the Differential Evolution (DE) algorithm to optimize essential antenna parameters for maximum communication system performance. The research concentrated on improving antenna performance through performance indicator enhancement, including energy concentration and gain, while optimizing return loss, beamwidth, and efficiency to support reliable distant communications, especially under difficult operating conditions. The optimized parameters of the VHF air-to-ground antenna system reached 76.73 MHz frequency along with 45.00 dB gain, 10.00 degrees beamwidth and 0.92 efficiency, which demonstrates broad operational coverage while preserving low power dissipation. The impedance matching is effective because a return loss measurement shows 5.00 dB. The investigation applied the optimization structure to optimize a 5G millimetre-wave (mmWave) antenna system for dealing with propagation issues caused by high frequencies. The system achieved optimized parameters at 33.00 GHz frequency with 29.61 dB gain and 5.00 degrees beamwidth while maintaining 0.98 efficiency, proving its ability to handle dense deployments through minimal interference mechanisms and maximum spatial utilization capacity. The antenna's high return loss value of 28.14 dB demonstrates the signal integrity performance. A DE algorithm optimization succeeded with a validity cost of 1.173050, which confirmed its precision in calculations and demonstrated a steady MAE reduction, which proved the algorithm had reached its correct solution path. Findings from the research show that the DE algorithm optimizes antenna design problems in VHF frequencies and future 5G systems with both efficiency and robustness. The developed research findings deliver practical and methodological contributions to antenna optimization, enhancing energy efficiency and system performance for upcoming wireless communication networks.