Optimization algorithm based on LabVIEW parallel operation and its application in Ni-Ti alloy wire dieless drawing

A optimization method based on LabVIEW parallel operation was proposed to improve the computing speed of the traditional genetic algorithm. When applied in a multi-core computer, the optimization method can achieve multithreading concurrent operations, thereby improving the efficiency of computation obviously. The initial speed-path of Ni-Ti alloy wire dieless drawing was optimized in an eight-core computer by using the optimization method. Compared with a method based on MATLAB program, the operation time of the optimization method is only about 1/8 as long as that of the former. Experimental results show that after adopting the optimized speed-path, the length of diameter fluctuation is about 24 mm, which is far less than that of other speed-paths such as the S-line style or linear path.