Chapter
Apr 26, 2012
Bi-Level Programming of Regional Logistics System with Elastic Demand Based on Fuzzy C-Means Clustering
Authors: Mingbao Pang [email protected], Xinping Zhao, and Yanqiu ChenAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
The bi-level programming of regional logistics system with elastic demand was studied. Game relations among the government, the owners of the logistics centers, and the clients were discussed by the system analysis method. The problem for clients to select the logistics centers and exchanging amount is equal to that of determining the membership values to the given logistics centers or the clustering centers by using fuzzy c-means clustering. The Stackelberg model was established. The upper level model is the problem for the owner to seek its maximum benefits. The lower level model is the partition problem of clients' assignment. Genetic algorithm was adopted in the concrete course for solution. The simulation result shows its correctness and feasibility.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Artificial intelligence and machine learning
- Business management
- Client relationships
- Computer programming
- Computing in civil engineering
- Decision making
- Elastic analysis
- Engineering fundamentals
- Freight transportation
- Fuzzy logic
- Game theory
- Infrastructure
- Logistics
- Owners
- Personnel (type)
- Personnel management
- Practice and Profession
- Structural analysis
- Structural engineering
- System analysis
- Transportation engineering
Authors
Affiliations
Transportation Department, School of Civil Engineering, Hebei University of Technology, China, Tianjin. E-mail: [email protected]
Xinping Zhao
Transportation Department, School of Civil Engineering, Hebei University of Technology, China, Tianjin
Yanqiu Chen
Transportation Department, School of Civil Engineering, Hebei University of Technology, China, Tianjin
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