Optimality Criterion and Algorithm for Solving the Traveling Salesman Problem [Articol]

dc.contributor.authorTerzi, Dmitrien
dc.date.accessioned2025-07-10T08:27:27Z
dc.date.issued2024
dc.description.abstractChanging the direction of research from exact methods to methods such as genetics, with heuristic approaches, is promising for creating the desired algorithm. To this end, the paper presents a method for solving the traveling salesman problem, considering it as a transportation-type problem that can be easily solved by a modified distribution method. The main results are related to the expansion of the application of the latest technology. The criteria for optimality of the solution are presented. A new algorithm has been developed, as well as a new, fairly general, test problem generator with a given optimal solution, which is consistent with the hypothesis about the need to conduct mass computational experiments to build an effective way to solve the traveling salesman problem.en
dc.description.sponsorshipThe study was carried out within the framework of a project from the State Register of Projects in the Sphere of Science and Innovation with code 23.00208.5007.06/PD II.
dc.identifier.citationTERZI, Dmitri. Optimality Criterion and Algorithm for Solving the Traveling Salesman Problem. In: International Conference dedicated to the 60th anniversary of the foundation of Vladimir Andrunachievici Institute of Mathematics and Computer Science, MSU, October 10-13 2024. Chisinau: [S. n.], 2024, pp. 476-482. ISBN 978-9975-68-515-3.en
dc.identifier.isbn978-9975-68-515-3
dc.identifier.urihttps://msuir.usm.md/handle/123456789/18295
dc.language.isoen
dc.subjectsigns of optimality of a solutionen
dc.subjectthree-element replacement operationen
dc.subjectmodified distribution methoden
dc.subjecttraveling salesman problemen
dc.titleOptimality Criterion and Algorithm for Solving the Traveling Salesman Problem [Articol]en
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Terzi Dmitri_476-482.pdf
Size:
752.05 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections