The invention discloses an optimization method for solving an omni-channel logistics distribution problem. In a first stage, a Lagrange relaxation technology is used to solve a LAP (Location-allocation Problem) problem. In a second stage, adaptive large-scale
neighborhood search is used for solving a multi-vehicle-type vehicle path problem, a feasible solution can be searched in a
large range in a solution space through one group of simple destruction and reconstruction algorithms, and a situation of falling into
local optimum can be effectively avoided. Meanwhile, a
simulated annealing acceptance criteria realized in the adaptive large-scale
neighborhood search can guarantee the quality of a solution and the convergence of the
algorithm, a result is output after the
algorithm is executed for an appointed iteration number, a time constraint requirement can be met, and a good vehicle distribution scheme is solved for enterprises in limiting time. The simpleness of the Lagrange relaxation technology is combined with the efficiency of the adaptive large-scale
neighborhood search, so that the integral solving efficiency of a mixed
algorithm is high, and the problem of omni-channel logistics distribution can be effectively solved.