DocumentCode :
1813758
Title :
An integrated optimization model for the location of distribution centers with multiple practical constraints
Author :
Gu, Yundong ; An, Yajing ; Chen, Yanchao ; Xu, Jin
Author_Institution :
Sch. of Math. & Phys., North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
472
Lastpage :
476
Abstract :
The problem of distribution centers location with multiple practical constraints, such as soft service time window, rigid work time window, vehicle being reused and so on, is shown firstly. Secondly, a multi-factor integrated optimization model is given, which not only optimizes distribution centers location and vehicle routes, but also meets all the multiple practical constraints. A bi-level nested genetic algorithm is proposed thirdly, where the design of the lower algorithm meets various constraints of optimization. Finally, the feasibility of the model and the efficiency of the algorithm are tested by a numerical example.
Keywords :
distributed processing; genetic algorithms; bilevel nested genetic algorithm; distribution centers location; distribution system; multifactor integrated optimization model; multiple practical constraints; rigid work time window; soft service time window; vehicle routes; DNA; Educational institutions; Genetic algorithms; Optimization; Routing; Vehicles; bi-level nested genetic algorithm; distribution centers location; mixed integer programming; vehicle routes problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
Type :
conf
DOI :
10.1109/CCIS.2011.6045112
Filename :
6045112
Link To Document :
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