OPTIMAL MODEL AND ALGORITHM FOR FREIGHT FLOW DISTRIBUTION OF CAPACITATED LOGISTICS NETWORK BASED ON MIXED NONLINEAR COSTS

摘要

In logistics network, due to effects of scale economies and capacity constraints of network components, logistics costs should be modeled as nonlinear functions. Taking into account scale economies and capacity constraints, a bi-level logistics network is modeled in this paper. Logistics costs of first and second sub-network are concave and convex respectively. The optimization problem of freight flow distribution for a capacitated logistics network based on mixed nonlinear costs is researched. Its object is to minimize the total logistics costs of the bi-level network. We propose a double-layer genetic algorithm to address the problem, and the effectiveness of this algorithm is fully proved by an example.