Suchergebnisse - "enhanced branch and bound algorithm"
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1
Autoren:
Quelle: IEEE Access, Vol 12, Pp 93753-93760 (2024)
Schlagwörter: enhanced branch and bound algorithm, pruning strategy, power dispatching optimization, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Branch and bound algorithm, TK1-9971
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2
Autoren: et al.
Quelle: Annals of Operations Research. 338:1283-1315
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3
Autoren: et al.
Quelle: The Journal of Supercomputing. 79:12042-12073
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4
Autoren: et al.
Quelle: European Journal of Operational Research. 291:661-679
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5
Autoren: et al.
Quelle: European Journal of Operational Research. 250:412-426
Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0211 other engineering and technologies, 02 engineering and technology, 16. Peace & justice
Zugangs-URL: http://arxiv.org/pdf/1401.5869
http://arxiv.org/abs/1401.5869
https://scholars.cityu.edu.hk/en/publications/an-enhanced -branchandbound-algorithm -for-the-talent-scheduling-problem(78ee3c72-d193-4de1-98bd-f73e6f233890)/fingerprints.html
https://ideas.repec.org/a/eee/ejores/v250y2016i2p412-426.html
https://www.sciencedirect.com/science/article/pii/S0377221715009091
https://dblp.uni-trier.de/db/journals/corr/corr1401.html#ZhangQLL14
http://www.sciencedirect.com/science/article/pii/S0377221715009091
https://doi.org/10.1016/j.ejor.2015.10.002 -
6
Autoren: Michael J. Brusco
Quelle: British Journal of Mathematical and Statistical Psychology. 56:83-92
Schlagwörter: 0504 sociology, 05 social sciences, 0211 other engineering and technologies, Humans, Psychology, 02 engineering and technology, Models, Psychological, Algorithms
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7
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Autoren: et al.
Quelle: Annals of Operations Research; Jul2024, Vol. 338 Issue 2/3, p1283-1315, 33p
Schlagwörter: GAUSSIAN mixture models, PROBLEM solving, ALGORITHMS
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9
Autoren: et al.
Quelle: Journal of Supercomputing; Jul2023, Vol. 79 Issue 11, p12042-12073, 32p
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10
Autoren: Brusco, Michael J.
Quelle: British Journal of Mathematical & Statistical Psychology; May2003, Vol. 56 Issue 1, p83, 10p
Schlagwörter: BRANCH & bound algorithms, DYNAMIC programming, MATHEMATICAL programming
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11
Autoren: et al.
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12
Autoren: et al.
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13
Autoren:
Quelle: Frontiers in Big Data; 2025, p1-18, 18p
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14
Autoren:
Quelle: TOP (1134-5764); Oct2025, Vol. 33 Issue 3, p437-469, 33p
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15
Alternate Title: 基于随机优化的量化风险管理的一些研究. (Chinese)
Autoren: HU, Zhaolin
Quelle: Operations Research Transactions / Yunchouxue Xuebao; Sep2025, Vol. 29 Issue 3, p135-159, 25p
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16
Autoren: et al.
Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p8920, 24p
Schlagwörter: GRAPH neural networks, SCALABILITY, REPRESENTATIONS of graphs, GRAPH algorithms, HEURISTIC
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17
Autoren:
Quelle: Mathematical Programming; Jul2025, Vol. 212 Issue 1, p437-478, 42p
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18
Autoren: et al.
Quelle: International Transactions in Operational Research; Mar2025, Vol. 32 Issue 2, p961-972, 12p
Schlagwörter: SUM of squares, COMBINATORIAL optimization, NONLINEAR programming, CONES, INTEGERS
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19
Autoren: Qiu, Jinping
Quelle: Process Integration & Optimization for Sustainability; Nov2024, Vol. 8 Issue 5, p1603-1614, 12p
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20
Autoren: et al.
Quelle: International Journal of Production Research; Jun2022, Vol. 60 Issue 12, p3879-3900, 22p, 8 Diagrams, 9 Charts, 3 Graphs
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