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Titlebook: Optimization in Artificial Intelligence and Data Sciences; ODS, First Hybrid Co Lavinia Amorosi,Paolo Dell’Olmo,Isabella Lari Conference pr

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樓主: McKinley
41#
發(fā)表于 2025-3-28 14:58:33 | 只看該作者
42#
發(fā)表于 2025-3-28 20:25:34 | 只看該作者
An Emission Pollution Permit System for Time-Dependent Transportation Networks Based on Origin-Destndent equilibrium conditions are expressed by an evolutionary variational inequality. Thanks to the variational formulation, existence and continuity results for equilibrium distributions are established.
43#
發(fā)表于 2025-3-29 02:06:24 | 只看該作者
Power Network Design with Line Activity,rrent optimal power flow with on/off variables on lines. We formulate this problem as a nonconvex MINLP in complex numbers, then we propose two convex MINLP relaxations. We test our formulations on some small-scale standard instances.
44#
發(fā)表于 2025-3-29 04:13:47 | 只看該作者
45#
發(fā)表于 2025-3-29 09:29:31 | 只看該作者
46#
發(fā)表于 2025-3-29 13:20:50 | 只看該作者
Optimization in Artificial Intelligence and Data Sciences978-3-030-95380-5Series ISSN 2523-7047 Series E-ISSN 2523-7055
47#
發(fā)表于 2025-3-29 17:27:31 | 只看該作者
Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforcnds on the machine and requires a fixed number of hours per day for its assigned worker. Moreover, precedence and contiguity relations between jobs must be respected. We propose a Mixed Integer Linear Programming formulation to model the problem and demonstrate its effectiveness on both real-world and randomly generated instances.
48#
發(fā)表于 2025-3-29 20:33:57 | 只看該作者
49#
發(fā)表于 2025-3-30 02:34:02 | 只看該作者
50#
發(fā)表于 2025-3-30 06:19:45 | 只看該作者
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