1、1Research on Application of Intelligent Optimization Algorithm to Solve Location Problem of LogisticsAbstract： The paper researches the mathematical model and algorithm of location problem of the logistics center and establishes a nonlinear 0-1 programmed mathematical model based on 0-1 integer prog
2、ramming mathematical model of location of the logistics center. And the paper designs an algorithm which can effectively solve the model-the solution integrating genetic algorithm and linear programming method. The paper gives the steps of the algorithm， and achieves ideal effect by solving three ex
3、amples， and verifies the feasibility of the algorithm. And the paper compares the solution results of the algorithm with that in the literature， which gets that all solutions are better than that in the literature， which verifies the effectiveness of the algorithm. Key words： genetic algorithm， line
4、ar programming method， location of the logistics center 1 Introduction Logistic center is the logistic institution which uses the 2modern logistics facilities and management technology and means to provide high-quality and efficient distribution service with low cost. It not only is the staging area
5、 of transportation， storage， process， package， distribution and information， but also is the place or organization of logistics activity. According to economic functions， distribution center can be divided into the type of supply， sales， storage， flow and process. And according to the service scope，
6、 it can be divided into the type in the city， between areas and international type. The research object of the paper is the flow logistics center in the city. The paper introduces the location basis， steps and common mathematical models relating to location， and designs the solving methods for mathe
7、matical models. And the paper points out the disadvantage of the existing solving methods， and the algorithm is the improvement of the existing solving methods. And the paper observes the algorithm. The location is very complicated， which makes the solution of the mathematical models very complicate
8、d. Most papers use iterative methods for solution， but these methods have some limitations and are only applied to specific mathematical models. The most common mathematical model with the better practicability is 0-1 3mixed integer programming model. The paper improves it， which achieves nonlinear
9、0-1 planning mathematic model of location problem of logistics center. The model and expansion model considers actual situations of location problem. It is an applicable and complete mathematical model. The solution of the model belongs to NPHard problem， which has large calculation and complicated
10、solution. It can solve with the help of meta-heuristic algorithms. 2 0-1 Nonlinear Programming Location Model of Logistics Center 2.1 Problem description There are production bases， distribution centers and requirement users， as shown in Figure 1. Under the premise of ensuring the transportation of
11、goods efficient， safe and smooth， the location scheme with the lowest total cost is achieved by solving， which chooses the distribution center. The total cost of the logistics system includes transportation cost， distribution cost， variable cost and fixed cost of distribution center. Supplier Distri
12、bution Requirement user center Figure 1 Distribution network of logistics enterprise The hypothesis of establishing location model of 4distribution center is as follows. The place of new distribution center is selected from the alternative places. The demand of users is computed according to areas.
13、Transportation expense is the linear function including freight volume and distance travelled. The capacity and number of distribution centers is limited. There are alternative places， and the maximum capacity is. Limited by the fund， the most number of distribution centers is P. Variable cost of di
14、stribution center is a concave function of flow， Wi，. The demand of each demand point is completed by the distribution of many distribution centers. There is no difference for service level between distribution centers， and the demand points are willing to select the nearest distribution center to m
15、eet the requirements. There is no the existing distribution center. 2.2 0-1mixed integer programming model The location problem of logistic centers in previous articles uses 0-1 mixed integer programming model or their 5modification. For example， literature only has the mathematical model with one-l
16、evel distribution network， and the objective function of the model only considers transportation expense and fixed construction expense of logistics center， and the model is very simple. The paper summarizes 0-1mixed integer programming models of the previous papers， which gets the representative 0-
17、1mixed integer programming location model of logistics center， as follows. （The significance of the relevant parameters of the model is the same to that of the following 0-1 nonlinear planning model， which can refer to parameter significance explanation of the following 0-1 nonlinear planning model）. 2.3 Mathematical model of nonlinear 0-1 planning logistics center location
