Ideally, CFRP machining should meet multiple performance metrics, including surface quality, production efficiency, cutting force, and dimensional accuracy. However, as some of these objectives inherently conflict, implementing multi-objective optimization algorithms offers a promising solution to balance these competing goals. This approach enables comprehensive and efficient solutions that optimize the overall machining process while meeting all required performance standards.