In the present research work, the effects of machining parameters such as cutting radius, cutting speed, feed rate and depth of cut on the surface roughness, cutting force, and material removal rate in finish hard turning of hardened hot work steel X38CrMoV5-1 [AISI H11] treated at 50 HRC using coated mixed ceramic tools CC6050 were experimentally investigated. The factorial experiment design was based on Taguchi's L36 orthogonal array. The response surface methodology (RSM) and analysis of variance (ANOVA) were used to check the validity of multiple linear regression models and to determine the significant parameter affecting the responses factors. A multi-objective optimization technique based on the RSM method and the genetic algorithmic approach (GA) was then applied to find optimal combinations of the cutting conditions to minimize the surface quality, cutting force and maximum the productivity. The experimental results reveal that the most significant machining parameter for surface roughness is the feed followed by cutting radius. However, the cutting speed affects considerably the metal removal rate. The (GA) allowed the optimization of the cutting conditions for minimal surface roughness, cutting force and maximal material removal rate.