Section
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Mathematics
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Title
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On sequential traversal of sets
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Author(-s)
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Chentsov A.G.ab,
Chentsov P.A.ab
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Affiliations
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Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciencesa,
Ural Federal Universityb
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Abstract
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The problem of sequential traversal of megapolises with precedence conditions is investigated; this problem is oriented to mechanical engineering — CNC metal cutting machines. There is the following setting singularity: the terminal component of additive criterion contains the dependence on the starting point. This singularity leads to the fact that the natural solution procedure based on dynamic programming must be applied individually for every starting point. The investigation goal consists in the construction of an optimizing algorithm for determining a complex including a route (a variant of megapolis numbering), a trajectory, and a starting point. The proposed algorithm realizes an idea of directed enumeration of starting points. This algorithm is realized as a program for PC; computations for model examples are made.
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Keywords
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route optimization, dynamic programming, start point optimization
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UDC
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517.6
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MSC
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49L20, 90C39
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DOI
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10.35634/vm210310
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Received
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11 May 2021
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Language
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Russian
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Citation
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Chentsov A.G., Chentsov P.A. On sequential traversal of sets, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2021, vol. 31, issue 3, pp. 487-504.
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References
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- Chentsov A.G., Chentsov P.A. To the question of optimization of the starting point in the routing problem with restrictions, Izvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta, 2020, vol. 55, pp. 135-154 (in Russian). https://doi.org/10.35634/2226-3594-2020-55-09
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- Chentsov A.G., Chentsov A.A., Sesekin A.N. Zadachi marshrutizatsii peremeshchenii s neadditivnym agregirovaniem zatrat (Routing problems with non-additive cost aggregation), Moscow: LENAND, 2021.
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- Chentsov A.G., Chentsov P.A., Petunin A.A., Sesekin A.N. Model of megalopolises in the tool path optimization for CNC plate cutting machines, International Journal of Production Research, 2018, vol. 56, issue 14, pp. 4819-4830. https://doi.org/10.1080/00207543.2017.1421784
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