| 2026 | GECCO | EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions. | Johana Chen, Niki van Stein, Robert Cabri, Thomas Bck, Anna V. Kononova |
| 2026 | PPSN | Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection. | Mathieu Cherpitel, Thomas Bck, Martijn Tannemaat, Anna V. Kononova |
| 2025 | GECCO | Structural bias in optimization algorithms. | Anna V. Kononova, Niki van Stein |
| 2025 | GECCO | Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. | Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Gnter Rudolph, Thomas Bck |
| 2025 | GECCO | Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. | Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bck |
| 2025 | GECCO | BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. | Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bck |
| 2025 | GECCO | Explainable Benchmarking for Iterative Optimization Heuristics. | Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bck |
| 2025 | GECCO | Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. | Haoran Yin, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2025 | IJCCI | Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery. | Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bck, Gabriela Ochoa |
| 2024 | GECCO | A Functional Analysis Approach to Symbolic Regression. | Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein, Anna V. Kononova |
| 2024 | GECCO | Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. | Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bck |
| 2024 | IJCCI | Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. | Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | IJCCI | Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. | Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | IPMU | Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. | Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bck, Alfons Laarman, Anna V. Kononova |
| 2024 | PPSN | Avoiding Redundant Restarts in Multimodal Global Optimization. | Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bck |
| 2024 | PPSN | A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. | Niki van Stein, Sarah L. Thomson, Anna V. Kononova |
| 2023 | EMO | Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. | Andr Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bck |
| 2023 | FOGA | Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. | Kirill A. Antonov, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2023 | GECCO | Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. | Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie |
| 2023 | GECCO | Deep BIAS: Detecting Structural Bias using Explainable AI. | Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova |
| 2023 | GECCO | When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. | Andr Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bck, Anna V. Kononova |
| 2023 | GECCO | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. | Diederick Vermetten, Manuel Lpez-Ibez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova |
| 2023 | GECCO | Modular Differential Evolution. | Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bck |
| 2023 | IJCCI | MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. | Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bck, Anna V. Kononova |
| 2023 | IJCCI | Challenges of ELA-Guided Function Evolution Using Genetic Programming. | Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein |
| 2023 | IJCCI | Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. | Andr Thomaser, Marc-Eric Vogt, Thomas Bck, Anna V. Kononova |
| 2023 | IJCCI | Optimizing CMA-ES with CMA-ES. | Andr Thomaser, Marc-Eric Vogt, Thomas Bck, Anna V. Kononova |
| 2022 | GECCO | One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. | Andr Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bck |
| 2022 | GECCO | Using structural bias to analyse the behaviour of modular CMA-ES. | Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova |
| 2021 | DSAA | Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. | Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bck |
| 2021 | GECCO | Quantifying the impact of boundary constraint handling methods on differential evolution. | Rick Boks, Anna V. Kononova, Hao Wang |
| 2021 | GECCO | Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. | Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bck |
| 2021 | GECCO | Emergence of structural bias in differential evolution. | Bas van Stein, Fabio Caraffini, Anna V. Kononova |
| 2021 | GECCO | Is there anisotropy in structural bias? | Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |
| 2020 | CEC | Can Single Solution Optimisation Methods Be Structurally Biased? | Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |
| 2020 | PPSN | Can Compact Optimisation Algorithms Be Structurally Biased? | Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |
| 2008 | CEC | Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics. | Anna V. Kononova, Derek B. Ingham, Mohamed Pourkashanian |
| 2007 | CEC | Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics. | Anna V. Kononova, Kevin J. Hughes, Mohamed Pourkashanian, Derek B. Ingham |