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http://elar.urfu.ru/handle/10995/132377
Название: | Using PCGTSPAlgorithm for Solving Generalized Segment Continuous Cutting Problem |
Авторы: | Petunin, A. Khachay, M. Ukolov, S. Chentsov, P. |
Дата публикации: | 2022 |
Издатель: | Elsevier B.V. |
Библиографическое описание: | Petunin, A, Khachay, M, Ukolov, S & Chentsov, P 2022, 'Using PCGTSP Algorithm for Solving Generalized Segment Continuous Cutting Problem', IFAC-PapersOnLine, Том. 55, № 10, стр. 578-583. https://doi.org/10.1016/j.ifacol.2022.09.456 Petunin, A., Khachay, M., Ukolov, S., & Chentsov, P. (2022). Using PCGTSP Algorithm for Solving Generalized Segment Continuous Cutting Problem. IFAC-PapersOnLine, 55(10), 578-583. https://doi.org/10.1016/j.ifacol.2022.09.456 |
Аннотация: | The problem of optimal tool routing for CNC sheet cutting machines (referred to as Cutting Path Problem or Tool Path Problem) is considered. The general formulation is used - Generalized Segment Continuous Cutting Problem (GSCCP). The new algorithm developed by the authors to solve generalized traveling salesman problem with precedence constraints (PCGTSP) is shown to effectively tackle this problem. This branch-and-bound algorithm, combined with the use of dynamic programming and a specialized heuristic solver, makes it possible to get optimal solutions for problems of small dimension in a relatively short time compared to known exact algorithms, as well as to find effective lower and upper bounds for the optimal solutions for large-scale problems. The conclusions are illustrated by solving several model examples. © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Ключевые слова: | BRANCH-AND-BOUND CUTTING PATH PROBLEM DYNAMIC PROGRAMMING GENERALIZED TRAVELING SALESMAN PROBLEM OPTIMIZATION PRECEDENCE CONSTRAINTS BRANCH AND BOUND METHOD HEURISTIC ALGORITHMS OPTIMAL SYSTEMS TRAVELING SALESMAN PROBLEM BRANCH AND BOUNDS CUTTING PATH PROBLEM CUTTING PATHS CUTTING PROBLEMS GENERALIZED TRAVELING SALESMAN PROBLEM OPTIMAL SOLUTIONS OPTIMISATIONS PATH PROBLEMS PRECEDENCE CONSTRAINTS ROUTINGS DYNAMIC PROGRAMMING |
URI: | http://elar.urfu.ru/handle/10995/132377 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Конференция/семинар: | 22 June 2022 through 24 June 2022 |
Дата конференции/семинара: | 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 |
Идентификатор SCOPUS: | 85144544073 |
Идентификатор WOS: | 000881681700098 |
Идентификатор PURE: | c465a1d6-bd08-4e62-a093-d608c37960ef 32804666 |
ISSN: | 2405-8963 |
DOI: | 10.1016/j.ifacol.2022.09.456 |
Сведения о поддержке: | Ministry of Education and Science of the Russian Federation, Minobrnauka, (075 -02-2022-874) The work was performed as part of research conducted in the Ural Mathematical Center with the financial support of the Ministry of Science and Higher Education of the Russian Federation (Agreement number 075 -02-2022-874). |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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2-s2.0-85144544073.pdf | 1,5 MB | Adobe PDF | Просмотреть/Открыть |
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