Abstract
The efficient and timely distribution of freight is critical for supporting the demands of modern urban areas. Without optimal freight distribution, urban areas could not survive and develop. The paper presents the concepts of hybrid approach to optimization of urban freight distribution. This approach proposed combines the strengths of mathematical programming (MP) and constraint logic programming (CLP), which leads to a significant reduction in the search time necessary to find the optimal solution and allows solving larger problems. It also presents the formal model for optimization of urban freight distribution with different types of time constraints. The application of the hybrid approach to the optimization of urban freight distribution is the primary contribution of this paper. The proposed model was implemented using both the hybrid approach and pure mathematical programming for comparison. Several experiments were performed for both computational implementations in order to evaluate both approaches.
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Sitek, P., Wikarek, J., Stefański, T. (2018). Optimization of urban freight distribution with different time constraints - a hybrid approach. In: Omatu, S., Rodríguez, S., Villarrubia, G., Faria, P., Sitek, P., Prieto, J. (eds) Distributed Computing and Artificial Intelligence, 14th International Conference. DCAI 2017. Advances in Intelligent Systems and Computing, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-319-62410-5_1
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DOI: https://doi.org/10.1007/978-3-319-62410-5_1
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