A parallel “go with the winners” algorithm for some scheduling problems Full article
Journal |
Journal of Applied and Industrial Mathematics
ISSN: 1990-4789 , E-ISSN: 1990-4797 |
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Output data | Year: 2023, Volume: 17, Number: 4, Pages: 687–697 Pages count : 11 DOI: 10.1134/S1990478923040014 | ||
Tags | Flow Shop problem, production scheduling, metaheuristic, GPU | ||
Authors |
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Affiliations |
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Funding (1)
1 | Russian Science Foundation | 22-71-10015 |
Abstract:
We consider an approach to solving permutation scheduling problems using graphics accelerators. A parallel evolutionary algorithm based on the iterated random local search and the “Go with the winners” algorithm is proposed. A computational experiment was carried out on test instances of the classic Flow Shop problem and one applied production scheduling problem with time windows. The results show high computing speed and good accuracy of obtained solutions in comparison with various variants of the genetic algorithm and Gurobi solver. The proposed approach is easy to implement and convenient for adaptation to particular features of graphics computing and can be used to solve practical problems.
Cite:
Borisovsky P.A.
A parallel “go with the winners” algorithm for some scheduling problems
Journal of Applied and Industrial Mathematics. 2023. V.17. N4. P.687–697. DOI: 10.1134/S1990478923040014 Scopus РИНЦ OpenAlex
A parallel “go with the winners” algorithm for some scheduling problems
Journal of Applied and Industrial Mathematics. 2023. V.17. N4. P.687–697. DOI: 10.1134/S1990478923040014 Scopus РИНЦ OpenAlex
Original:
Борисовский П.А.
Параллельный алгоритм «иди с победителями» для некоторых задач составления расписаний
Дискретный анализ и исследование операций. 2023. Т.30. №4. С.5–23. DOI: 10.33048/daio.2023.30.773 РИНЦ
Параллельный алгоритм «иди с победителями» для некоторых задач составления расписаний
Дискретный анализ и исследование операций. 2023. Т.30. №4. С.5–23. DOI: 10.33048/daio.2023.30.773 РИНЦ
Dates:
Submitted: | May 12, 2023 |
Accepted: | Aug 20, 2023 |
Published print: | Sep 20, 2023 |
Published online: | Feb 16, 2024 |
Identifiers:
Scopus: | 2-s2.0-85185304033 |
Elibrary: | 64504093 |
OpenAlex: | W4391909734 |
Citing:
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