The invention provides a collaborative scheduling method of high-end equipment manufacturing process, based on a
hybrid differential
genetic algorithm. The collaborative scheduling method includes thesteps: obtaining
hybrid differential evolution and
genetic algorithm parameters; defining Q chromosomes, wherein each
chromosome includes a plurality of genes to initialize a
population vector; performing code correction operation based on the Q chromosomes; according to the corrected
gene, arranging workpieces to each manufacturer for production
processing, and calculating the manufacturing spanof each scheme; screening the
chromosome with the smallest fitness value from the Q chromosomes, and obtaining the current
global optimal solution gbest; updating the
population vector by using Bernoulli
crossover operation; and updating the
population vector by means of an immigration strategy until the
global optimal solution gbest is output as the optimal height scheme. The collaborative scheduling method of high-end equipment manufacturing process, based on a
hybrid differential
genetic algorithm can successfully solve the collaborative scheduling problem of production and transportationin the
distributed manufacturing process, and is beneficial to improving the
overall efficiency and service level of the production
system.