Title :
Berth allocation problem with Harvard architecture and agent-based computing
Author :
Li, Bin ; Yan, Xin-qing
Author_Institution :
Dept. of Econ. & Manage., Fujian Univ. of Technol., Fuzhou, China
Abstract :
The berth allocation problem (BAP) has been the focus and hotspot of systems engineering, industrial engineering and logistics engineering. This paper presented multi-agent system (MAS) model of container terminal landside operation based on Harvard architecture that is a systemic and robust solution to BAP, and obtain the pilot study simulation result that indicates the compound modeling using Harvard architecture and agent-based computing (HA-AC) to BAP is feasible and effective. That also provides a new way to construct intelligent decision support system (IDSS) for container terminal logistics system (CTLS).
Keywords :
containers; multi-agent systems; production engineering computing; CTLS; Harvard architecture; IDSS; MAS model; agent-based computing; berth allocation problem; container terminal landside operation; container terminal logistics system; intelligent decision support system; multiagent system; Containers; Decision making; Marine vehicles; Resource management; Harvard architecture; agent-based computing; berth allocation problem; container terminal; scheduling and decision-making;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619336