DocumentCode
518014
Title
Notice of Retraction
Study on simulation optimization method for resource scheduling problem
Author
Su Wang ; Jun Zheng ; Kai Zheng ; Jun Guo ; Xiaoping Liu
Author_Institution
Comput. Center, East China Normal Univ., Shanghai, China
Volume
2
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As the world container volumes are soaring, it is necessary to decrease waiting time of vessels and improve efficiency of container terminals. This paper studies simulation optimization technology to mimic and optimize scheduling operations in container terminals. Container terminal system is one kind of complex discrete event system. An Agent-based Multi-Resolution Modeling (AMRM) method is proposed to establish simulation optimization models in this paper and Contract Net Protocol describes the communication between agents. Then a hybrid scheduling rule is introduced and an improved Ant Colony Optimization (ACO) method is applied to improve the scheduling solutions. Finally, the simulation experiments of tugboat scheduling operation and quay crane scheduling operation in container terminals show that AMRM modeling and ACO method is well suited for scheduling operations in container terminals.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As the world container volumes are soaring, it is necessary to decrease waiting time of vessels and improve efficiency of container terminals. This paper studies simulation optimization technology to mimic and optimize scheduling operations in container terminals. Container terminal system is one kind of complex discrete event system. An Agent-based Multi-Resolution Modeling (AMRM) method is proposed to establish simulation optimization models in this paper and Contract Net Protocol describes the communication between agents. Then a hybrid scheduling rule is introduced and an improved Ant Colony Optimization (ACO) method is applied to improve the scheduling solutions. Finally, the simulation experiments of tugboat scheduling operation and quay crane scheduling operation in container terminals show that AMRM modeling and ACO method is well suited for scheduling operations in container terminals.
Keywords
containers; discrete event systems; optimisation; resource allocation; scheduling; agent based multiresolution modeling; ant colony optimization; container terminal system; contract net protocol; discrete event system; hybrid scheduling rule; quay crane scheduling operation; resource scheduling problem; simulation optimization; tugboat scheduling operation; world container volume; Ant colony optimization; Computational modeling; Computer simulation; Containers; Cranes; Job shop scheduling; Optimization methods; Processor scheduling; Resource management; Scheduling algorithm; ant colony optimization; multi-resolution modeling; scheduling; simulation optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485435
Filename
5485435
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