Abstract
Collaborative scheduling problem of container terminal is one of multi-objective, multi-restraint, multi-resources, dynamic NP-combination optimization problems. This problem is made more difficult by some uncertain factors, such as equipment failure, changeable climate and so on. It is difficult for General analytical method to solve it, so the mobile Agent system can intelligently percept sudden changes of environment in real time and then make intelligent decisions during the rapid development of wireless communication network.
In this paper, to reduce interfering of uncertain factors and coordinate the conflict of optimization purposes, based on analyzing and coupling uncertain factors, a hybrid distributed model of cooperative scheduling system is established through adopting computer architecture-based Agent by the bottom-up modeling approach combined with the central processor and bus technology.
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References
Bierwirth, C., Meisel, F.: A survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research 202(3), 615–627 (2010)
Chang, D.F., Jiang, Z.H., et al.: Integrating berth allocation and quay crane assignments. Transportation Research Part E-Logistics and Transportation Review 46, 975–990 (2010)
Jun, H.A.N., Xiao-na, S.U.N., Zhi-hong, J.I.N.: Coordinated optimization method for berth and quay crane allocation in container terminal. Journal of Dalian Maritime University 34, 117–121 (2008)
Zeng, Q.-C., Yang, Z.-Z.: Integrating scheduling model and hybrid optimization algorithm for container terminals. Journal of Systems Engineering 25, 264–270 (2010)
Serrano, D., Gossard, D.: Tools and techniques for conceptual design. In: Artificial Intelligence in Engineering Design, pp. 71–116. Academic Press, New York (1992)
Lewis, K., Mistree, F.: Modeling interactions in multidisciplinary design: A game theoretic approach. AIAA Journal 35, 1387–1392 (1997)
Lokuge, P., Alahakoon, D.: Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents. European Journal of Operational Research 177, 1985–2015 (2007)
Yu, M., Wang, S.: Study on Scheduling System Based on Multi-Agent of Container Terminal. In: Proceedings 2006 10th International Conference on Computer Supported Cooperative Work in Design, Nanjing, China, pp. 579–584 (2006)
Li, B., Li, W.: Container terminal logistics systems collaborative scheduling based on multi-agent systems. Computer Integrated Manufacturing Systems 17, 2502–2513 (2011)
Xu, B., Yang, D.-L.: Application of mobile Agent in the real-time scheduling at container wharf. Information Technology 13, 13–18 (2010)
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Yu, M., Cai, Y., Zhao, Z. (2013). Research on Cooperative Scheduling at Container Terminal under Uncertainties. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_67
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DOI: https://doi.org/10.1007/978-3-642-37015-1_67
Publisher Name: Springer, Berlin, Heidelberg
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