Abstract
This paper studies a Container Trucks (CTs) dynamic dispatching strategy in which multiple tasks are matched with multiple CTs and proposes Multi-Agent contract net protocols based on two-way negotiation mechanism. It could assign optimal tasks to CTs through tendering, bidding and contracting of tasks. Fuzzy set theory and method is adopted to couple multiple factors on the tasks to assess to their dispatching emergency degree in the process. One of the factors is the distance from the current position of CT to the loading/unloading position. Through judging obstruction status by using related data of the GPRS system, the steps of ant colony algorithm are designed to find the predicted travel distance of the optimal route. After fuzzification and defuzzification in MATLAB, the decision query table of dispatching plan is obtained. Finally, a case study is given to describe the scheduling scheme in detail.
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Acknowledgements
This paper has been funded by the National Natural Science Foundation of China (No. 71672137 and No. 61503291).
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Yu, M., Li, D., Wang, Q. (2018). The Research on the Container Truck Scheduling Based on Fuzzy Control and Ant Colony Algorithm. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_16
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DOI: https://doi.org/10.1007/978-3-319-74521-3_16
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