Jacob de Nobel

37 papers A 6B 2C 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. GECCO Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025	J	`jnl`	Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. CoRR Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025	—	`conf`	Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable. GECCO Companion Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2025	J	`jnl`	From Spikes to Speech: NeuroVoc - A Biologically Plausible Vocoder Framework for Auditory Perception and Cochlear Implant Simulation. CoRR Jacob de Nobel, Jeroen J. Briaire, Thomas H. W. Bäck, Anna V. Kononova, Johan H. M. Frijns
2025	—	`conf`	MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. EMO (1) Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2024	—	`conf`	Avoiding Redundant Restarts in Multimodal Global Optimization. PPSN (2) Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024	J	`jnl`	Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024	—	`conf`	Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2024	A	`conf`	Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. GECCO Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
2024	J	`jnl`	Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. CoRR Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
2024	J	`jnl`	IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. Evol. Comput. Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2024	J	`jnl`	MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. CoRR Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2024	—	`conf`	Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. IPMU (1) Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2024	C	`conf`	Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. IJCCI Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova
2024	J	`jnl`	Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. CoRR Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova
2024	J	`jnl`	Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
2024	A	`conf`	What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
2023	B	`conf`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	J	`jnl`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	—	`conf`	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2023	A	`conf`	Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. GECCO François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
2023	J	`jnl`	Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. CoRR François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
2023	J	`jnl`	Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye
2023	J	`jnl`	What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
2023	A	`conf`	When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2023	J	`jnl`	When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2022	—	`conf`	Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2022	J	`jnl`	Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve. CoRR Jacob de Nobel, Anna V. Kononova, Jeroen J. Briaire, Johan H. M. Frijns, Thomas Bäck
2022	—	`conf`	Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022	J	`jnl`	Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022	B	`conf`	Trajectory-based Algorithm Selection with Warm-starting. CEC Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2022	J	`jnl`	Trajectory-based Algorithm Selection with Warm-starting. CoRR Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2021	J	`jnl`	Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants. CoRR Jacob de Nobel, Hao Wang, Thomas Bäck
2021	A	`conf`	Explorative data analysis of time series based algorithm features of CMA-ES variants. GECCO Jacob de Nobel, Hao Wang, Thomas Bäck
2021	J	`jnl`	IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021	J	`jnl`	Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. CoRR Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021	—	`conf`	Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. GECCO Companion Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck