Jacob de Nobel
Orcid: 0000-0003-1169-1962
According to our database1,
Jacob de Nobel
authored at least 23 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Evol. Comput., 2024
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler.
CoRR, 2024
CoRR, 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms - Code and Data.
Dataset, February, 2023
Evol. Comput., 2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data.
Dataset, April, 2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.
CoRR, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
CoRR, 2021
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Explorative data analysis of time series based algorithm features of CMA-ES variants.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021