Optimization of Logistics Nodes in Dynamic Location with a Multi-objective Evolutionary Algorithm

Author

Liu, Yan ; Fan, Lei ; Wang, Yuping ; Dong, Qianli

Author_Institution

Sch. of Econ. & Bus. Manage., Chang´´an Univ., Xi´´an, China

Volume

1

fYear

2009

fDate

11-14 Dec. 2009

Firstpage

133

Lastpage

137

Abstract

Actual demand and cost in logistics system changed with time. The facility location problem considering the time factor was studied in this paper. A dynamic logistics nodes location model considering capacitated, multi-source and multi-level logistics nodes was presented. We also considered the influence of the transition between hub and non-hub logistics nodes, and established a new node. Based on the previous multi-objective evolutionary algorithm based on external dominance clustering (ED-MOEA), a discrete ED-MOEA was proposed to resolve this problem. When solving it, the objective was decomposed into a bi-objective problem. The simulation results show the effectiveness of the proposed model and the algorithm.

Keywords

evolutionary computation; facility location; logistics; discrete ED-MOEA; dynamic location; dynamic logistics nodes location model; external dominance clustering; facility location problem; logistics nodes optimization; logistics system; multiobjective evolutionary algorithm; Clustering algorithms; Conference management; Cost function; Evolutionary computation; Logistics; Supply chains; Technology management; Time factors; Transportation; Vehicle dynamics; Dynamic Location; Logistics; Multi-Objective Evolutionary Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2009. CIS '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5411-2

Type

conf

DOI

10.1109/CIS.2009.101

Filename

5376682