Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal
Joint Authors
Yang, Yongsheng
Postolache, Octavian
Zhong, Meisu
Zhou, Yamin
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhong, Meisu& Yang, Yongsheng& Zhou, Yamin& Postolache, Octavian. 2019. Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197158
Modern Language Association (MLA)
Zhong, Meisu…[et al.]. Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1197158
American Medical Association (AMA)
Zhong, Meisu& Yang, Yongsheng& Zhou, Yamin& Postolache, Octavian. Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197158
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197158