For scheduling optimization problem in mass customization supply chain, a mathematical programming model
is proposed, which is corresponded with a digraph via several definitions in order to use intelligent algorithm to solve it. A
hybrid algorithm is proposed to optimize the objective function, which takes both advantages of genetic algorithm and particle
swarm algorithm, so this hybrid algorithm integrated global searching ability with high convergence speed. Compared with
the results of other algorithms, the simulation results show that the proposed algorithm is an efficient method for solving the
scheduling optimization problem.