The Research on MSA-PSO Algorithm to Optimize Logistics Management for Third Party Logistics Enterprises

摘要

The concept, connotation and responsibility of third party logistics are put forward and expatiated based on the corresponding content of third party logistics, which are combined with the development trend and characteristics of integrated logistics management and external market environment. Then the problem on scheduling management for third party logistics enterprises is regarded as a starting point, combined with the developing status in quo and connotation of them. After the principle, formulas and process of standard particle swarm optimization algorithm are expounded, Inertia weight factor and contraction factor are introduced into standard particle swarm optimization, which is combined with simulated annealing algorithm, so it is formed modified simulated annealing-particle swarm optimization to solve the problem of scheduling management for third party logistics enterprises, abbreviated as MSA-PSO. At last the principle, formulas and process of modified simulated annealing- particle swarm optimization are expounded to optimize scheduling management for third party logistics enterprises, of which are combined with simulated annealing algorithm and standard particle swarm optimization algorithm.