The invention discloses a dynamic disturbance response-oriented parallel multi-objective 
machining parameter optimization method. The method comprises the following steps that: step 1, when a 
numerical control machine tool performs multi-objective 
machining, a to-be-machined 
feature set distributed to the current 
numerical control machine tool is loaded, and the 
feature set is divided into a plurality of feature subsets; step 2, whether emergency workpiece 
insertion disturbance exists is judged, and the feature subsets are divided into a plurality of feature sub-subsets; step 3, a 
machining energy consumption model, a 
machining time model and a cutter abrasion model are established, a parallel multi-objective double-archive 
evolutionary algorithm is adopted to adaptively allocate optimization objectives according to a result indicating whether disturbance occurs in a current 
machining process, and meanwhile, optimal machining parameters are searched for the plurality of feature sub-subsets obtained in the step 2, and are written into the Gcode program of corresponding features; and step 4, the Gcode program is delivered to the 
numerical control machine tool so as to be executed. According to the dynamic disturbance response-oriented parallel multi-objective machining parameter optimization method of the invention, on the basis of the self-adaptive allocation of the optimization objectives, machining parameter optimization for 
machining process dynamic disturbance response is realized through the parallel multi-objective double-archive 
evolutionary algorithm.