Hybrid algorithm for solving a multimodal transport problems using a transfer graph model

Author(s):  
Ayed Hedi ◽  
Zineb Habbas ◽  
Carlos Galvez-Fernandez ◽  
Djamel Khadraoui
2011 ◽  
Vol 61 (2) ◽  
pp. 391-401 ◽  
Author(s):  
H. Ayed ◽  
C. Galvez-Fernandez ◽  
Z. Habbas ◽  
D. Khadraoui

Author(s):  
Serhii Zabolotnii ◽  
Artem Honcharov ◽  
Sergii Mogilei

The paper regards a specific class of optimization criteria that possess features of probability. Therefore, constructing objective function of optimization problem, the importance is attached to probability indices that show the probability of some criterial event or events to occur. Factor analysis has been taken for the main method of constructing objective function. Algorithm for constructing objective function of optimization is done for criterion of minimization risk level in multimodal transportations that demanded demonstration data. The application of factor analysis in classical problem solution was shown to give the problem a more distinct analytical interpretation in solving it.


2021 ◽  
Vol 7 (2) ◽  
pp. 76-86
Author(s):  
Georgy V. Gogrichiani ◽  
Anton N. Lyashenko

Background: to organize multimodal transportation and choose the best route option for fuel delivery, it is necessary to develop an algorithm for choosing the best solution from the considered ones. This is indicated in the Strategy of scientific and Technological Development of the Russian Railways Holding Company for the period up to 2025 and for the future of 2030 ("White Paper", where on pages 25-26 it is said about the need to develop new transport and logistics products and services in global transport chains in the development of multimodal transport and the need to develop and organize new multimodal freight transport). Federal Railway Administrations of the United States, page 127 of the White Paper, points to the need to improve the methodology of integrated multimodal transport planning at the global, national and regional levels, increase the demand for transport and logistics services, and transition to supply chain management. Aim: to develop a method for multi-criteria rationalization of the choice of multimodal transport routes with the possibility of considering hypothetical options. Materials and Methods: the fundamental works of leading scientists in the field of improving the efficiency of production in accordance with the needs of the economy in transportation A.V. Annenkov, P.B. Romanova were used. In the field of justification of decisions on cargo terminals, determining the volume of tank farms with the possibility of their expansion O.B. Malikov, V.N. Sapronov. The application of multi-criteria rationalization by comparing the criteria under consideration is given in the work of A.T. Osminin, which developed a scientifically based method aimed at creating analytical and control systems. In the field of risk analysis and assessment of the work of A.G. Kotenko. The works of A.Y. Akhriev, A.B. Egorov, A.A. Kalushin, V.N. Mirushkin, E.V. Pasyunin, and A.V. Savelyev were studied in the field of improving the optimization of the oil transshipment complex, and the works of M.A. Nazarov and O.M. Sergeeva in the segment of logistics of river and sea oil transportation. Results: it consists in improving the quality of solutions to problems in the transportation of liquid fuel by means of transport in multimodal communication based on the use of the developed method. The set of criteria considered in the method allows you to set and solve transport problems with almost no restrictions on complexity, which in each case allows you to get better results. Conclusion: Using the method in practice allows not only to objectively find the best solution from the considered ones, but also to study hypothetical transportation schemes with the possible construction of new tracks and their elements, and compare existing and new schemes by a set of criteria, including construction costs and payback time of new tracks, and as a result find the best solution to the task.


2019 ◽  
Vol 52 (5) ◽  
pp. 477-484 ◽  
Author(s):  
Youpeng Lu ◽  
Xiao Pei ◽  
Changze Zhang ◽  
Haiyan Luo ◽  
Bin Liu ◽  
...  

2021 ◽  
Vol 22 (2) ◽  
pp. 129-140
Author(s):  
Krzysztof Przystupa ◽  
Zhang Qin ◽  
Serhii Zabolotnii ◽  
Volodymyr Pohrebennyk ◽  
Sergii Mogilei ◽  
...  

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.


1988 ◽  
Vol 49 (C7) ◽  
pp. C7-321-C7-329
Author(s):  
F. MALVAGI ◽  
G. C. POMRANING
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document