导弹
发表于 2025-3-21 19:51:14
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委托
发表于 2025-3-21 22:14:39
Related Work,tuning. Many techniques have been attempted to address this problem, including meta-heuristics, evolutionary computation, local search, etc. Yet despite the variability in the approaches, this flood of proposed work mainly ranges between four ideas: algorithm construction, instance-oblivious tuning,
sterilization
发表于 2025-3-22 01:36:48
Instance-Specific Algorithm Configuration,vious tuning and instance-specific regression, while mitigating their weaknesses. Specifically, ISAC combines the two techniques to create a portfolio where each solver is tuned to tackle a specific type of problem instance in the training set. This is achieved using the assumption that problem inst
deciduous
发表于 2025-3-22 06:16:32
Training Parameterized Solvers,he set covering problem (SCP), showing that instance-oblivious tuning of the parameters can yield significant performance improvements and that ISAC can perform better than an instance-specific regression approach. The second section presents the mixed integer problem (MIP) and shows that even a sta
Insubordinate
发表于 2025-3-22 12:27:26
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Indicative
发表于 2025-3-22 15:55:04
Dynamic Training,of three steps (computing features, clustering, and training), this methodology is not restricted to any single approach for any of them. For example, so far we have shown how a local search, GGA, and selecting the single best solver in a portfolio are all possibilities for training a solver for a c
resuscitation
发表于 2025-3-22 20:48:03
Training Parallel Solvers,e excelled in competitions in satisfiability (SAT), constraint programming (CP), and quantified Boolean formulae (QBF). Since around 2010, a new trend has emerged, namely the development of parallel solver portfolios. The obvious next step is to therefore consider dynamic parallel portfolios, i.e.,
投射
发表于 2025-3-23 00:59:10
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松软无力
发表于 2025-3-23 04:45:37
Evolving Instance-Specific Algorithm Configuration,t of problem types and domains. It is therefore necessary to develop algorithm portfolios, where, when confronted with a new instance, the solver selects the approach best suited for satisfying the desired objective. This process can then be further refined to intelligently create portfolios of dive
Ventricle
发表于 2025-3-23 06:38:09
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