research on application of intelligent optimization algorithm to solve location problem of logistics

1、<p>　　Research on Application of Intelligent Optimization Algorithm to Solve Location Problem of Logistics</p><p>　　Abstract： The paper researches the mathematical model and algorithm of location proble

2、m of the logistics center and establishes a nonlinear 0-1 programmed mathematical model based on 0-1 integer programming mathematical model of location of the logistics center. And the paper designs an algorithm which ca

3、n 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 exa</p><p>　　Key

4、 words： genetic algorithm， linear programming method， location of the logistics center </p><p>　　1 Introduction </p><p>　　Logistic center is the logistic institution which uses the modern logist

5、ics facilities and management technology and means to provide high-quality and efficient distribution service with low cost. It not only is the staging area of transportation， storage， process， package， distribution and

6、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 acc</p>

7、<p>　　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 fo

8、r mathematical 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 i

9、s very complicated， which makes the solution of the mathematical models</p><p>　　2.1 Problem description </p><p>　　There are production bases， distribution centers and requirement users， as show

10、n in Figure 1. Under the premise of ensuring the transportation of goods efficient， safe and smooth， the location scheme with the lowest total cost is achieved by solving， which chooses the distribution center. The total

11、 cost of the logistics system includes transportation cost， distribution cost， variable cost and fixed cost of distribution center. </p><p>　　Supplier Distribution Requirement user </p><p><b

12、>　　center </b></p><p>　　Figure 1 Distribution network of logistics enterprise </p><p>　　The hypothesis of establishing location model of distribution center is as follows. </p>&

13、lt;p>　?、賂he place of new distribution center is selected from the alternative places. </p><p>　?、赥he demand of users is computed according to areas. </p><p>　?、跿ransportation expense is the l

14、inear function including freight volume and distance travelled. </p><p>　?、躎he capacity and number of distribution centers is limited. There are alternative places， and the maximum capacity is. Limited by th

15、e fund， the most number of distribution centers is P. </p><p>　?、軻ariable cost of distribution center is a concave function of flow， Wiθ，θ. </p><p>　　⑥The demand of each demand point is complete

16、d by the distribution of many distribution centers. </p><p>　?、逿here is no difference for service level between distribution centers， and the demand points are willing to select the nearest distribution cent

17、er to meet the requirements. </p><p>　　⑧There is no the existing distribution center. </p><p>　　2.2 0-1mixed integer programming model </p><p>　　The location problem of logistic cen

18、ters in previous articles uses 0-1 mixed integer programming model or their modification. For example， literature only has the mathematical model with one-level distribution network， and the objective function of the mod

19、el 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 r

20、epresentative 0-1mixed i</p><p>　?。═he 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 explan