Research on Intelligent Optimization Algorithm in Logistics Center Location

Wei Qing Zhao

doi:10.4028/www.scientific.net/AMM.539.882

Paper Titles

Highway Alignment Parameters Design and Capacity Analysis on Two-Lane Highway
p.860

Study on WSN Localization Algorithm and Simulation Model for Intelligent Transportation System
p.867

Real Time Monitoring System Design of Animal Husbandry Logistics Based on ARM and ZigBee
p.874

Design and Realization of Management and Control System of Warehouse Based on VC6
p.878

Research on Intelligent Optimization Algorithm in Logistics Center Location
p.882

Grey Correlation Analysis on Collaboration Client Evaluation in Supply Network
p.889

Regression Modeling and Optimization Assessment System for Weightlifting
p.897

Performance Prediction Using Fuzzy Mapping and Artificial Neural Network
p.901

Effects of Vertical Vibration on Peak Torque of Knee Joint
p.904

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 539Research on Intelligent Optimization Algorithm in...

Research on Intelligent Optimization Algorithm in Logistics Center Location

Abstract:

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 programming 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 examples, 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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 539)

Pages:

882-888

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.539.882

Citation:

Cite this paper

Online since:

July 2014

Authors:

Wei Qing Zhao

Keywords:

Genetic Algorithm (GA), Linear Programming Method, Location of the Logistics Center

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Syam Siddhartha S. A Model and Methodologies for the Location Problem with Logistical Components . Computers & Operations Research, 2002, (29) : 1173-1193.

DOI: 10.1016/s0305-0548(01)00023-5

Google Scholar

[2] BARAHONA F, JEN SEN D. Plant location with minimum inventory . Mathematical Programming, 1998, 83 (1): 101-111.

DOI: 10.1007/bf02680552

Google Scholar

[3] MARK S. DASKIN and COLLETTE R. COULLARD, ZUO-JUN MAX SHEN. An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results. Annals of Operations Research, 2002, 110, 83-106.

DOI: 10.1023/a:1020763400324

Google Scholar

[4] A IKEN S C H. Facility location models for distribution planning. European Journal of Operational Research, 1985, 22(2): 263-279.

DOI: 10.1016/0377-2217(85)90246-2

Google Scholar

[5] BARAHONA F, JEN SEN D. Plant location with minimum inventory. Mathematical Programming, 1998, 83(1): 101-111.

DOI: 10.1007/bf02680552

Google Scholar

[6] HOLMBERG K. Exact solution methods for uncapacitated location problem with convex transportation costs . European Journal of Operational Research, 1999, 114(1): 127-140.

DOI: 10.1016/s0377-2217(98)00039-3

Google Scholar

[7] OW EN S H, DA SK IN M S. Strategic facility location: a review . European Journal of Operational Research, 1998, 111(3): 423-447.

Google Scholar

[8] ANDREA S KLO SE. Using clustering methods in problems of combined location and routing. Operations Research Proceedings. New York: Springer-Verlag, (1996).

Google Scholar