Boosting local search with Lagrangian relaxation · Author Picture Zhilei Ren,; Author Picture He Jiang,; + 3. Pages 589–615https://doi.org/10.1007/s10732-014 ...
Boosting local search with Lagrangian relaxation. 发表时间：2022-10-05. 发表刊物：JOURNAL OF HEURISTICS. 所属单位：软件学院. 卷号：20. 期号：5. 页面范围：589- ...
The generic data reduction procedure is based on useful information provided by applying subgradient optimization to the Lagrangian relaxation of the knapsack ...
Oct 22, 2024 · By using simple, frequency-tuned well proxy models, we obtain a compact mixed-integer formulation which by Lagrangian relaxation renders a ...
Mar 10, 2023 · Moreover, Lagrangian relaxation can be combined with other heuristics or metaheuristics, such as local search, simulated annealing, or ...
CP-based Lagrangian Relaxation allows us to reason on local substructures ... this procedure have shown that CP-based Lagrangian Relaxation can boost the.
Aug 10, 2022 · We also develop a local search applied during the resolution of the Lagrangian relaxations. These methodologies were subjected to ...
We seek to design an algorithm like Boudreault and Quimper, but for the AtMostNValue constraint. Based on the work done by Cambazard and Fages [6] on this ...
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... local search models and dual and primal methods are suggested. This paper ... Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian ...
Jul 26, 2024 · Additionally, we incorporate a local search method to ensure this Lagrangian ... forms, thereby enhancing the efficiency of network resource.
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