This paper investigates the machinability of Ti-6Al-4V, a titanium alloy widely used in aerospace, biomedical, and automotive industries due to its exceptional properties such as high strength, low density, and corrosion resistance. Despite these advantages, the alloy presents machining challenges due to poor thermal conductivity and high reactivity, necessitating optimization of machining parameters to improve surface roughness and reduce cutting forces. Using a multi-objective approach, this study applies the Harris Hawk Optimization (HHO) algorithm to identify optimal cutting conditions, specifically cutting speed, feed rate, and depth of cut. The results demonstrate that HHO effectively minimizes surface roughness and cutting force, achieving optimal machining performance, which was validated through comparison with traditional methods such as Augmented epsilon constraint method (AUGMENCON). This work provides valuable insights for improving machining efficiency and sustainability in manufacturing processes involving titanium alloys.