<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The object of this study is a multicriteria transport problem, being stated for availability of several means of cargo delivery, meaning a multimodal transport problem. The optimization criteria of the multimodal transport problem described above are two objective functions of minimizing total transportation costs and level of transport risks. Three types of transport were selected for research: automobile, rail and river (inland waterway). The results of the study lay the foundation for development of a new valid algorithm for solving multimodal transport problems like multi-criteria optimization ones. The main advantage of such an algorithm lies in its higher potential convergence rate compared to classical numerical optimization methods, which now are predominantly used to solve the problems of this type. This advantage may not be decisive, but it appears to be at least quite an important argument when choosing the method of realization for two-criteria multimodal transport problems earlier considered, especially, in case of a large dimension. Moreover, the algorithm described in the work can be applied to similar problems with any number of types of transport and optimization criteria.</p>
</abstract>

The object of this study is a multicriteria transport problem, being stated for availability of several means of cargo delivery, meaning a multimodal transport problem. The optimization criteria of the multimodal transport problem described above are two objective functions of minimizing total transportation costs and level of transport risks. Three types of transport were selected for research: automobile, rail and river (inland waterway). The results of the study lay the foundation for development of a new valid algorithm for solving multimodal transport problems like multi-criteria optimization ones. The main advantage of such an algorithm lies in its higher potential convergence rate compared to classical numerical optimization methods, which now are predominantly used to solve the problems of this type. This advantage may not be decisive, but it appears to be at least quite an important argument when choosing the method of realization for two-criteria multimodal transport problems earlier considered, especially, in case of a large dimension. Moreover, the algorithm described in the work can be applied to similar problems with any number of types of transport and optimization criteria.

Constructing Reference Plans of Two-Criteria Multimodal Transport Problem

Department of Computer Engineering and Information Technologies

Department of Ecological Safety and Nature Protection Activity

East European University of Economics and Management

Department of Mechanics and Machine Building

University of Economics and Innovations in Lublin

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Constructing Reference Plans of Two-Criteria Multimodal Transport Problem"}

The object of this study is a multicriteria transport problem, being stated for availability of several means of cargo delivery, meaning a multimodal transport...

Constructing Reference Plans of Two-Criteria Multimodal Transport Problem

Publié en ligne: 23 avr. 2021

Pages: 129 - 140

DOI: https://doi.org/10.2478/ttj-2021-0010

Mots clés
algorithm, multimodal transport problem, multicriteria optimization, reference plan, algorithm adaptation

© 2021 Krzysztof Przystupa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Constructing Reference Plans of Two-Criteria Multimodal Transport Problem

Publié en ligne: 23 avr. 2021

Pages: 129 - 140

DOI: https://doi.org/10.2478/ttj-2021-0010

Mots clésalgorithm, multimodal transport problem, multicriteria optimization, reference plan, algorithm adaptation

© 2021 Krzysztof Przystupa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
algorithm, multimodal transport problem, multicriteria optimization, reference plan, algorithm adaptation