Please use this identifier to cite or link to this item: http://repository.hneu.edu.ua/handle/123456789/32514
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dc.contributor.authorPekár Juraj-
dc.contributor.authorBrezina Ivan-
dc.contributor.authorKultan Jaroslav-
dc.contributor.authorUshakova I.-
dc.contributor.authorDorokhov O.-
dc.date.accessioned2024-05-13T11:56:10Z-
dc.date.available2024-05-13T11:56:10Z-
dc.date.issued2020-
dc.identifier.citationСomputer tools for solving the traveling salesman problem / Juraj Pekár, Ivan Brezina, Jaroslav Kultan [etc.] // Управління розвитком. – Т. 18. – № 1. – С. 25-39.ru_RU
dc.identifier.urihttp://repository.hneu.edu.ua/handle/123456789/32514-
dc.description.abstractThe task of the traveling salesman, which is to find the shortest or least costly circular route, is one of the most common optimization problems that need to be solved in various fields of practice. The article analyzes and demonstrates various methods for solving this problem using a specific example: heuristic (the nearest neighbor method, the most profitable neighbor method), metaheuristic (evolutionary algorithm), methods of mathematical programming. In addition to classic exact methods (which are difficult to use for large-scale tasks based on existing software) and heuristic methods, the article suggests using the innovative features of the commercially available MS Excel software using a meta-heuristic base. To find the optimal solution using exact methods, the Excel (Solver) software package was used, as well as the specialized GAMS software package. Comparison of different approaches to solving the traveling salesman problem using a practical example showed that the use of traditional heuristic approaches (the nearest neighbor method or the most profitable neighbor method) is not difficult from a computational point of view, but does not provide solutions that would be acceptable in modern conditions. The use of MS Excel for solving the problem using the methods of mathematical programming and metaheuristics enabled us to obtain an optimal solution, which led to the conclusion that modern tools are an appropriate addition to solving the traveling salesman problem while maintaining the quality of the solution.ru_RU
dc.language.isouk_UAru_RU
dc.publisherХНЕУ ім. С. Кузнецяru_RU
dc.subjecttraveling salesman problemru_RU
dc.subjectheuristic methodsru_RU
dc.subjectmetaheuristic methodsru_RU
dc.subjectoptimal solutionru_RU
dc.subjectsuboptimal solutionru_RU
dc.titleСomputer tools for solving the traveling salesman problemru_RU
dc.typeArticleru_RU
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