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Logistics system platform location problem can be abstracted into the following four categories: distribution center location, warehouse location, order the library site and goods delivery path location, these four siting in traffic, transportation, warehousing, and industrial detection industry has been widely used. The problem is a hot topic of research at home and abroad in recent years, logistics site, four siting classification based on the location of the main distribution center model and optimization algorithm to solve the Analysis and Implementation. Location problems in logistics, occupies an important position in the rationalization of distribution center location can greatly reduce the total cost of the company's operations, including transportation costs, construction costs, and variable costs, and their research is of great significance because distribution center location. This article reads as follows: First, the proposed siting, siting problem is to choose the best location for the need to set the \Problems in the logistics system and the abstract for the siting of analysis, the main influencing factors include distribution center location analysis and common location method study. Secondly, this abstract model of a comprehensive universal objective function, many modeling method, due to the Analytic Hierarchy Process (AHP) modeling expertise A comprehensive qualitative judgments into concrete quantitative method of determination, but also has the ability to qualitative analysis and quantitative analysis, taking into account the complexity of the logistics system and distribution center location affect the diversity of factors, this choice of the AHP modeling method logistics siting assumptions, modeling and testing. Detail a the AHP modeling approach to achieve ideological. Finally, the combination of the characteristics of the logistics system and the characteristics of the model, select two effective optimization algorithm, simulated annealing algorithm and genetic algorithms, and introduced them to achieve ideological. Each optimization algorithms to achieve ideological analysis and comparison of them, given them in the characteristics of the solution, the initial solution, constraints, convergence speed and other factors, the comparison table. Taking into account the genetic algorithm to solve the problem in some of the gaps, it is combined with the simulated annealing algorithm, and site selection model using genetic algorithms and simulated annealing genetic hybrid algorithm, and the corresponding experimental data and algorithm thought for comparison. Through some research, combined with theoretical analysis concluded that the results show that the use of the the AHP modeling approach greatly simplifies the logistics system siting, and has a lot of applicability. While simulated annealing genetic hybrid optimization algorithm has also been a good application, achieved the desired effect.
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