Search Results for author:
Found 4 papers, 3 papers with code
Towards net-zero manufacturing: carbon-aware scheduling for GHG emissions reduction
In this context, carbon-aware scheduling can serve as a powerful way to reduce manufacturing's carbon footprint by considering the time-dependent carbon intensity of the grid and the availability of on-site renewable electricity.
Features for the 0-1 knapsack problem based on inclusionwise maximal solutions
We show that the proposed features contain important information related to the empirical hardness of a problem instance that was missing in earlier features from the literature by training machine learning models that can accurately predict the empirical hardness of a wide variety of 0-1 knapsack problem instances.
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
We propose four versions of NICE, one without optimization and, three which optimize the explanations for one of the following properties: sparsity, proximity or plausibility.
Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problems
The algorithm is based on Monte Carlo tree search, a popular algorithm in game playing that is used to explore game trees and represents the state-of-the-art algorithm for a number of games.
