态度暖昧
发表于 2025-3-28 17:17:48
Ikram Nekkache,Said Jabbour,Lakhdar Sais,Nadjet Kamel
食道
发表于 2025-3-28 22:49:50
Marvin Stanczak,Cédric Pralet,Vincent Vidal,Vincent Baudoui
PLIC
发表于 2025-3-28 23:51:01
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Notify
发表于 2025-3-29 03:53:38
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painkillers
发表于 2025-3-29 08:03:33
A Computational Study of Constraint Programming Approaches for Resource-Constrained Project Schedulo devise a destructive lower bounding method. We perform an extensive computational study across thousands of instances based on the PSPlib to quantify the impact of project size, potential learning occurrences, and learning effects on the optimal project duration. In addition, we compare formulatio
吸引人的花招
发表于 2025-3-29 12:50:53
Strengthening of Feasibility Cuts in Logic-Based Benders Decomposition, obtain irreducible cuts. In particular, the use of the depth-first binary search cut-strengthening algorithm gives a good performance. Another observation is that when the subproblem can be separated into small independent problems, the impact of cut strengthening is dominated by that of the separa
Brain-Waves
发表于 2025-3-29 16:03:32
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Deadpan
发表于 2025-3-29 23:01:07
Partitioning Students into Cohorts During COVID-19,ses. We solve this problem by modeling it as an integer linear program, and apply our model to generate the Master Timetable for a Canadian all-boys high school, successfully enrolling students in 87% of their desired courses, including 100% of their required courses. We conclude the paper by explai
DALLY
发表于 2025-3-30 02:10:09
Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding,we propose a randomized restarting variant of beam search. We conduct extensive empirical evaluation, comparing different randomization techniques and restart strategies, and show that the randomized restarting variant solves some of the hardest instances faster and outperforms the baseline.
evaculate
发表于 2025-3-30 08:03:05
,Combining Constraint Programming and Temporal Decomposition Approaches - Scheduling of an Industriaall instances of the scheduling problem monolithically. To deal with large instances a decomposition algorithm is developed. The overall set of batches is divided into subsets which are scheduled iteratively. The algorithm is designed in a moving horizon fashion, in order to counteract the disadvant