simulation-based optimization for storage allocation problem of outbound containers in automated container terminals

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ID: 218340
2015
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Abstract
Storage allocation of outbound containers is a key factor of the performance of container handling system in automated container terminals. Improper storage plans of outbound containers make QC waiting inevitable; hence, the vessel handling time will be lengthened. A simulation-based optimization method is proposed in this paper for the storage allocation problem of outbound containers in automated container terminals (SAPOBA). A simulation model is built up by Timed-Colored-Petri-Net (TCPN), used to evaluate the QC waiting time of storage plans. Two optimization approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proposed to form the complete simulation-based optimization method. Effectiveness of this method is verified by experiment, as the comparison of the two optimization approaches.
Reference Key
zhao2015mathematicalsimulation-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Ning Zhao;Mengjue Xia;Chao Mi;Zhicheng Bian;Jian Jin
Journal journal of power sources
Year 2015
DOI
10.1155/2015/548762
URL
http://dx.doi.org/10.1155/2015/548762
Keywords
civil engineering (general)mathematics engineering (general)

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