A hybrid immune algorithm for solving Fourth-Party Logistics routing optimizing problem

Author

Huang, Min ; Bo, Guihua ; Tong, Wei ; Ip, W.H. ; Wang, Xingwei

Author_Institution

Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

fYear

2008

fDate

1-6 June 2008

Firstpage

286

Lastpage

291

Abstract

Recently, fourth-party logistics (4PL) is receiving considerable attention in the manufacturing and retail industries. However, due to the complexity, the research of routing problem in 4PL is in an initial stage. The existing study does not consider the complicated problem with node-edge property. This paper studies the node-to-node routing problem in 4PL. A mathematical model is set up based on nonlinear integer programming and multigraph. With respect to the problempsilas characteristics a hybrid immune algorithm is designed. The simulation shows that the hybrid immune algorithm is effective for solving the problem and provides an efficient method for making decision on routing in 4PL.

Keywords

integer programming; logistics; nonlinear programming; fourth-party logistics routing optimizing problem; hybrid immune algorithm; manufacturing industries; multigraph; node-edge property; node-to-node routing problem; nonlinear integer programming; retail industries; Algorithm design and analysis; Costs; Genetic algorithms; Heuristic algorithms; Logistics; Manufacturing; Programming profession; Routing; Supply chains; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-1822-0

Electronic_ISBN

978-1-4244-1823-7

Type

conf

DOI

10.1109/CEC.2008.4630812

Filename

4630812