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Multimodal transport network freight routing algorithms in optimization models
Author(s) -
Ol'ga Lebedeva,
J. O. Poltavskaya
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/971/5/052008
Subject(s) - multimodal transport , computer science , heuristic , routing (electronic design automation) , vehicle routing problem , point (geometry) , flow network , production (economics) , selection (genetic algorithm) , operations research , mathematical optimization , transport engineering , economics , engineering , artificial intelligence , mathematics , microeconomics , computer network , geometry
The development of international trade is associated with global growth in trade. For the implementation of trade between different regions, multimodal transportation is used. The cost of international logistics reaches approximately 30-50% of the total cost of production, therefore, reducing transportation costs is one of the options to increase profits and maintain competitiveness in the world market. Thus, the optimization of freight routes for moving goods through a multimodal transport network is relevant. This study discusses the problems of planning multimodal transport routes from the point of view of developing models and algorithms: characteristics of optimization models; selection of optimization models; solving optimization models with heuristic algorithms.

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