Manufacturing includes various types of processes and today’s manufacturing processes are caught between the growing needs for quality, high process safety, minimal manufacturing costs, and short manufacturing times. In order to meet the demands, manufacturing process setting parameters have to be chosen in the best possible way. The selection of optimum process parameters plays a significant role to ensure quality of product, to reduce the manufacturing cost and to increase productivity in computer controlled manufacturing process. For such optimization it is necessary to represent the manufacturing process in a model. However, the primary challenge for manufacturing process optimization often stems from the fact that the procedure is typically highly constrained and highly non-linear. Additionally, manufacturing process models are likely discontinuous, non-explicit, or not analytically differentiable with the design variables. Due to the enormous complexity of many manufacturing processes and the high number of influencing parameters, conventional approaches to modeling and optimization are no longer sufficient. Advanced modeling and optimization techniques are needed to be developed and used as modeling and optimization of manufacturing process is becoming increasingly important in industry in the drive towards ‘agile manufacturing’.