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Multicriterial optimization of transportation based on customers probabilistic preferences

Authors: Dmitry Zavalishchin; Galina Timofeeva;

Multicriterial optimization of transportation based on customers probabilistic preferences

Abstract

In the situation of rapidly developing e-commerce, there is a need to expand the possibilities of cargo delivery. Of course, there is the problem of optimizing transport routes. The problem of probabilistic mathematical modeling of the carriers preferences of and their clients is considered. Patterns of preferences are formulated based on the solution of a multicriteria problem. Choosing a route by a random carrier is considered as an optimization problem with a random preference function. We investigate the case of a random delivery time. The results of this study can also be useful for mathematical modeling of transport networks.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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