Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13301
Title: A hybrid immune algorithm for solving Fourth-Party Logistics routing optimizing problem
Authors: Huang, M
Bo, G
Tong, W
Ip, WH 
Wang, X
Keywords: Integer programming
Logistics
Nonlinear programming
Issue Date: 2008
Publisher: IEEE
Source: Evolutionary Computation, 2008, CEC 2008, (IEEE World Congress on Computational Intelligence), IEEE Congress on : date, 1-6 June, 2008, Hong Kong, p. 286-291 How to cite?
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.
URI: http://hdl.handle.net/10397/13301
ISBN: 978-1-4244-1822-0
978-1-4244-1823-7 (E-ISBN)
DOI: 10.1109/CEC.2008.4630812
Appears in Collections:Conference Paper

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