Abstract
Nowadays, the transport and logistics aspects are more and more important for many companies from different domains of the global economy. Each company tries to decrease the costs of its functioning in more areas. One of such areas, being more and more significant for the industry, especially for the logistics industry are costs related to the organization process of their deliveries and transport. This problem is often defined as split delivery routing problem which has to be optimized. This issue can be solved with the use of selected artificial intelligent algorithms.
The paper presents the importance of split delivery routing problem and its optimization from the point of view of company transport and related costs by the analysis of ant colony optimization algorithm used to solve the modification of standard vehicle routing problem.
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Ochelska-Mierzejewska, J. (2020). Ant Colony Optimization Algorithm for Split Delivery Vehicle Routing Problem. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_67
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DOI: https://doi.org/10.1007/978-3-030-44041-1_67
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