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2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Cargo Vessel Route Rationalization with Chimerical Genetic Algorithm
Times cited (SCOPUS): 4
ABSTRACT: One of the most basic problems in logistics is the problem of route rationalization. Route rationalization may be based on different criterions, but at its core it always can be reduced to classic mathematical problems, such as travelling salesman problem (TSP). This study discusses methods, used to find approximate solutions for TSP and proposes authors modification of classic genetic algorithm (GA) for solving vessel’s route rationalization problem. Test results and strategies for vessel’s route rationalization are discussed. A number of conclusions on best strategies for route rationalization is carried out.
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Kuznetsov, Aleksandr L., Aleksandr V. Kirichenko, and German B. Popov. “Chimerical genetic algorithm for sea route rationalization.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S.O. Makarova 9.3 (2017): 456–467. DOI: 10.21821/2309-5180-2017-9-3-456-467. - doi:10.21821/2309-5180-2017-9-3-456-467
Citation note:
Kuznetsov A.L., Popov G.B.: Cargo Vessel Route Rationalization with Chimerical Genetic Algorithm. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 14, No. 4, doi:10.12716/1001.14.04.28, pp. 1005-1008, 2020
Authors in other databases:
Alexander Kuznetsov: Scopus icon57196277330
G.B. Popov:

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