Mathijs de Weerdt (profile)

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Totals for datasets (co-)authored by Mathijs de Weerdt

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Mathijs de Weerdt 0000-0002-0470-6241

Datasets

Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - New York (Figure 6)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - Chordal, fixed size (Figure 1)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - Diamonds (Figure 5)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - Job shop (Figure 7)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - HTN (Figure 8)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - Scale-free; constant vertex count, varying density (Figure 3)
Benchmark instances for experiments in "Computing all-pairs shortest paths by leveraging low treewidth" - Scale-free; varying vertex count, bounded induced width (Figure 4)
Data underlying the research of Quality prediction of strawberries with RGB image segments
Network instance Chordal, fixed size, edition 2
Network instance Chordal, fixed treewidth, edition 1
Network instance Diamonds, edition 2
Network instance HTN, edition 2
Network instance Job shop, edition 2
Network instance New York, edition 2
Network instance Scale-free; varying vertex count, bounded induced width, edition 2
Network instance Scale-free; constant vertex count, varying density, edition 2
Raw data of the EXPensive Optimization benchmark library (EXPObench)
Simulation model for the publication: "Exposing a Locational Energy Market to Uncertainty"
Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability
Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control
Source code for the article: Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm
Supplementary data for the article: Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm
Supplementary data for the article: Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art

Collections

Co-authors

Co-authors of Mathijs de Weerdt's datasets/collections. Bold: authors with a 4TU.ResearchData account.