DocumentCode :
523777
Title :
An Improved Genetic Algorithm for the Capacitated Transshipment Nodes Location
Author :
Zhouqing, Li
Author_Institution :
Sch. of Logistics, Southwest Jiaotong Univ., Chengdu, China
Volume :
1
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
559
Lastpage :
562
Abstract :
A location problem of the capacitated transshipment nodes in joint allocation and transportation of mass goods and materials is studied. Transportation costs, operating variable costs of transshipment nodes are considered, and a nonlinear mixed integer programming model for the transshipment nodes location is proposed. To solve the model effectively, a matrix-based encoding, cost matrix benchmarking-based mutation genetic algorithm is also developed. Finally, the validity of the model and algorithm was demonstrated by a numerical example.
Keywords :
costing; facility location; genetic algorithms; goods distribution; integer programming; matrix algebra; nonlinear programming; transportation; capacitated transshipment nodes location; cost matrix benchmarking-based mutation genetic algorithm; improved genetic algorithm; logistics management systems; matrix-based encoding; nonlinear mixed integer programming model; operating variable costs; transportation costs; Automation; Cost function; Encoding; Genetic algorithms; Genetic mutations; Joining materials; Linear programming; Logistics; Refining; Transportation; balanced transshipment problem; genetic algorithm; location model; transshipment nodes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.375
Filename :
5523073
Link To Document :
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