Zarządzanie inteligentnym transportem wewnętrznym poprzez komputerowe algorytmy probabilistyczne
Journal Title: Autobusy. Technika, Eksploatacja, Systemy Transportowe - Year 2018, Vol 220, Issue 6
Abstract
This article presents a proposal proprietary approach to the task of optimizing transport processes. In modern logistics, there is a very high complexity of the transport processes. The development of technology has made the systems are becoming more complex. This generates high costs and quite often only approximate the best solutions. The model shows the connection classifier Ford-Fulkerson network flow algorithm Demstera-Shafer theory based on mathematical records. This method is used to obtain the limit problems (tasks) transport. This method is based inter alia on the cost matrix, which means that usually obtained cost solution to the problem is significantly lower than using other methods. The solution acceptable - it is a temporary solution. There are many feasible solutions to a transportation problem, wherein each further has a better (lower) or at least a minimal cost from the previous.
Authors and Affiliations
Mariusz Topolski
Keywords
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- EP ID EP561906
- DOI 10.24136/atest.2018.211
- Views 44
- Downloads 0
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