Location And Route Logistics Model And Particle Swarm Optimization Algorithm

With the continuous development of market economy, people understanding of the logistics of the importance of gradual, "the third profit source" concept is now recognized by more and more people. How to reduce logistics costs and improve logistics efficiency and logistics services, is a concern for much business. Among them, the location of logistics distribution system of re-planning strategy, which determines the pattern of the distribution system, structure and shape.Node for the logistics of such a multi-factor complex siting combinatorial optimization problem, using a qualitative analysis and quantitative analysis and normative analysis and the method of combining simulation and verification, taking full account of the logistics system based on the lowest operating costs, the establishment of a logistics Location-scale model of the node. Using discrete particle swarm optimization (DPSO) algorithm for solving this model. Experimental results demonstrate that DPSO and other optimization algorithms, with a relatively fast search of higher efficiency and superior rate of this algorithm in solving the problem of logistics nodes location decisions more scientific and reasonable, and promotion of the applicability of a certain value. Firstly, research at home and abroad were reviewed, revealing the location of logistics distribution centers significance for the theoretical model provides a theoretical basis. Then the concepts of logistics systems were introduced, and details of the theory of logistics distribution centers and research status, as the theoretical support.Secondly, the theory of logistics and distribution are outlined, while the development process of PSO algorithm, the basic principle, the algorithm steps, advantages, disadvantages and algorithm improvement, which must be analyzed for full-text lays a theoretical foundation.Thirdly, the logistics node location of the multi-factor complex combinatorial optimization problems are discussed, taking full account of the logistics system.based on the lowest operating costs, the establishment of a logistics node site planning model. DPSO proved by experiment compared with other algorithms more efficient and faster search of higher priority rate.In the end, using a new integer coding method, a discrete PSO algorithm. Verified through the practical application of this PSO algorithm can solve logistics and distribution vehicle routing problem.