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Title: Adaptive autotuning mathematical approaches for integrated optimization of automated container terminal
Authors: Zhong, M.
Yang, Y.
Zhou, Y.
Postolache, O.
Issue Date: 2019
Publisher: Hindawi Limited
Abstract: With the development of automated container terminals (ACTs), reducing the loading and unloading time of operation and improving the working efficiency and service level have become the key point. Taking into account the actual operation mode of loading and unloading in ACTs, a mixed integer programming model is adopted in this study to minimize the loading and unloading time of ships, which can optimize the integrated scheduling of the gantry cranes (QCs), automated guided vehicles (AGVs), and automated rail-mounted gantries (ARMGs) in automated terminals. Various basic metaheuristic and improved hybrid algorithms were developed to optimize the model, proving the effectiveness of the model to obtain an optimized scheduling scheme by numerical experiments and comparing the different performances of algorithms. The results show that the hybrid GA-PSO algorithm with adaptive autotuning approaches by fuzzy control is superior to other algorithms in terms of solution time and quality, which can effectively solve the problem of integrated scheduling of automated container terminals to improve efficiency.
Peer reviewed: yes
DOI: 10.1155/2019/7641670
ISSN: 1024-123X
Accession number: WOS:000502050500002
Appears in Collections:IT-RI - Artigo em revista internacional com arbitragem científica

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