A numerically controlled workshop automatic
delivery vehicle scheduling method is characterized in that firstly, on the basis that
constraint analysis and mathematical modeling are conducted on the vehicle scheduling problem in a numerically controlled workshop, an original matrix scanning method is adopted to distribute distribution tasks to vehicles, initial
population of a subsequent
genetic algorithm is obviously optimized, then, an optimal distribution sequence of a
single vehicle is solved through the
genetic algorithm, aiming at driving characteristics of distribution vehicles in the numerically controlled workshop, practical driving distances of the vehicles are calculated through an original coordinate addition-subtraction method with directions, optimal distribution time of the vehicles are obtained through a golden section method based on the prior fact,
local convergence of the
algorithm are avoided through an elitism retention strategy, and therefore an ideal vehicle scheduling optimizing scheme is obtained. According to the numerically controlled workshop automatic
delivery vehicle scheduling method, the problem that an existing vehicle scheduling
algorithm is low in efficiency due to specific distribution of user points and the special distribution process in the numerically controlled workshop is solved, and the
algorithm is efficient and feasible.