Modeling and optimizing of 4PL routing optimization problem based on goal programming

Author

Huang Min ; Ren Liang ; Chang Ming ; Cui Yan

Author_Institution

Key Lab. of Synthetical Autom. of Process Ind., Northeastern Univ., Shenyang, China

fYear

2013

fDate

25-27 May 2013

Firstpage

2348

Lastpage

2352

Abstract

Routing problem is one of the key issues in the fourth party logistics. Considering the cost and time expectation of fourth party logistics, this paper studied the single-point to single-point and single-task routing problem in view of goal programming. The novel goal programming mathematical model was established first. Then, an improved differential evolution algorithm was designed based on characteristics of the problem and compared to genetic algorithm. Finally several examples showed the effectiveness and robustness of the method.

Keywords

genetic algorithms; logistics; mathematical programming; 4PL routing optimization problem; differential evolution algorithm; fourth party logistics; genetic algorithm; novel goal programming mathematical model; single point routing problem; single task routing problem; Algorithm design and analysis; Companies; Genetic algorithms; Logistics; Optimization; Programming; Routing; Differential evolution algorithm; Fourth party logistics; Goal programming; Routing optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561330

Filename

6561330