Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132377
Title: Using PCGTSPAlgorithm for Solving Generalized Segment Continuous Cutting Problem
Authors: Petunin, A.
Khachay, M.
Ukolov, S.
Chentsov, P.
Issue Date: 2022
Publisher: Elsevier B.V.
Citation: 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
Abstract: 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/)
Keywords: 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
Access: info:eu-repo/semantics/openAccess
Conference name: 22 June 2022 through 24 June 2022
Conference date: 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022
SCOPUS ID: 85144544073
WOS ID: 000881681700098
PURE ID: c465a1d6-bd08-4e62-a093-d608c37960ef
32804666
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2022.09.456
Sponsorship: 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).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85144544073.pdf1,5 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.