19 citations · 26 across the 4 of their papers we have counts for
4 papers
Efficient Algorithms for Energy-Aware Single-Machine Scheduling with Battery Storage
Luca Forte, Stijn De Vuyst, Pieter Leyman
Energy-aware scheduling has become a central challenge in modern manufacturing environments. As industries increasingly aim to reduce operational costs and carbon emissions, aligni…
Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network
Theresa Eimer, Lennart Schäpermeier, André Biedenkapp +15
Empirical research on meta-algorithmics, such as algorithm selection, configuration, and scheduling, often relies on extensive and thus computationally expensive experiments. With…
Towards net-zero manufacturing: carbon-aware scheduling for GHG emissions reduction
Andrea Mencaroni, Pieter Leyman, Birger Raa +2
Detailed scheduling has traditionally been optimized for the reduction of makespan and manufacturing costs. However, growing awareness of environmental concerns and increasingly st…
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Dieter Brughmans, Pieter Leyman, David Martens
In this paper we suggest NICE: a new algorithm to generate counterfactual explanations for heterogeneous tabular data. The design of our algorithm specifically takes into account a…