Vital-Signs
发表于 2025-3-23 13:27:37
PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection,on 24 well-known black-box functions to show that the progressive procedure is capable of selecting suitable models from the ensemble and that it can compete with state-of-the-art methods for sequential optimization.
connoisseur
发表于 2025-3-23 16:55:39
Intelligent Optimization for the Minimum Labelling Spanning Tree Problem,th the integration of other complements from machine learning, statistics and experimental algorithmics, in order to produce high-quality performance and to completely automate the resulting optimization strategy.
流行
发表于 2025-3-23 18:31:41
A Genetic Algorithm Approach for the Multidimensional Two-Way Number Partitioning Problem,an integer linear programming formulation of the problem. The obtained preliminary results, in the case of medium and large instances, reveal that our proposed methodology performs very well in terms of both quality of the solutions and the computational times compared with the previous method of solving the MDTWNPP.
Affable
发表于 2025-3-23 23:38:49
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nerve-sparing
发表于 2025-3-24 03:46:54
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LINES
发表于 2025-3-24 08:30:40
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富饶
发表于 2025-3-24 12:56:29
Conference proceedings 2013anuary 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.
Schlemms-Canal
发表于 2025-3-24 17:21:41
A Constraint Satisfaction Approach to Tractable Theory Induction,e/base case induction. We run benchmarks using two constraints: input-output specification and search space pruning. The benchmarks suggest our constraint satisfaction approach can speed up theory induction by four orders of magnitude or more, making certain intractable problems tractable.
阴郁
发表于 2025-3-24 19:35:15
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Vertical
发表于 2025-3-24 23:09:46
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Studyg Branch-and-Bound and FlowShop as a case study, we deployed our approach using up to . GPUs and . CPUs. Through extensive experiments in different system configurations, we report near optimal speedups, thus providing new insights into how to take full advantage of both GPUs and CPUs power in modern computing platforms.