Chapter
Apr 26, 2012
Logistics Industrial Cluster Based on Complex Adaptive System Theory
Authors: Wei Wang [email protected], Huimin Wang [email protected], Xuejun Feng, and Yong Wang [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
The evolution of logistics industrial cluster reflects the self-organization mechanism and function of the complex system, which provides an analytical angle for the logistics industrial cluster. The multi-agent simulation method of the complex system theory is adopted to explore the general evolutional pattern of logistics industrial cluster and a basic idea for logistics industrial cluster based on multi-agent systems is proposed. This paper also inquires into the structure of each agent in this system and the corporation among all the agents, poses the simplified simulated model and studies the method to implement this model, offering a theoretical guide and a methodological basis to the study of logistics industrial cluster based on multi-agent systems. According to this theory, the simulated experimental system is constructed based on SWARM, and simulated results confirm the rationality of the system.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Adaptive systems
- Aging (material)
- Business management
- Business organizations
- Corporations
- Deterioration
- Engineering fundamentals
- Freight transportation
- Industries
- Infrastructure
- Logistics
- Materials characterization
- Materials engineering
- Models (by type)
- Organizations
- Practice and Profession
- Simulation models
- Structural engineering
- Structural models
- Structures (by type)
- Systems engineering
- Systems management
- Transportation engineering
- Wood structures
Authors
Affiliations
Transportation & Logistics Engineering Institution, HoHai University, P.O. Box 210098, Nanjing, Jiangsu, China. E-mail: [email protected]
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Business School, HoHai University, P.O. Box 210098, Nanjing, Jiangsu, China. E-mail: [email protected]
Xuejun Feng
Transportation & Logistics Engineering Institution, HoHai University, P.O. Box 210098, Nanjing, Jiangsu, China
College of Computer and Control, GuiLin University of Electronic Technology, P.O. Box 541004, Guilin, Guangxi, China. E-mail: [email protected]
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