Anna V. Kononova

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 65

Top Topics

Parameter Optimization

Infeasible Solutions

Reinforcement Learning

Differential Evolution

Top Venues

GECCO Companion

Publications

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. CoRR (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR (2024)
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
Explainable Benchmarking for Iterative Optimization Heuristics. CoRR (2024)
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems. CoRR (2024)
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. GECCO (2024)
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories. CoRR (2024)
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO (2024)
Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR (2024)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evol. Comput. 32 (1) (2024)
Kevin Godin-Dubois, Olivier Weissl, Karine Miras, Anna V. Kononova
Interactive embodied evolution for socially adept Artificial General Creatures. CoRR (2024)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data. CoRR (2024)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion (2023)
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
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31 (2) (2023)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. GECCO (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI (2023)
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. IJCCI (2023)
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR (2023)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR (2023)
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. 56 (6) (2023)
Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova
Disentangling causality: assumptions in causal discovery and inference. Artif. Intell. Rev. 56 (9) (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. CoRR (2023)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing. CoRR (2023)
André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck
Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. EMO (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR (2023)
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. CoRR (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO (2023)
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
Optimizing CMA-ES with CMA-ES. IJCCI (2023)
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion (2023)
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. GECCO Companion (2023)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. IJCCI (2023)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA (2023)
Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. CoRR (2022)
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion (2022)
Jacob de Nobel, Anna V. Kononova, Jeroen Briaire, Johan H. M. Frijns, Thomas Bäck
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve. CoRR (2022)
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. CoRR (2022)
Fan Yang, Marios Kefalas, Milan Koch, Anna V. Kononova, Yanan Qiao, Thomas Bäck
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data. ICCAE (2022)
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances. CoRR (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10 (2022)
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. 26 (6) (2022)
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. SSCI (2022)
André Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bäck
One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. GECCO Companion (2022)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-A. Mitran, Daniela Zaharie
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond. CoRR (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Efficient AutoML via Combinational Sampling. SSCI (2021)
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge. CoRR (2021)
Bas van Stein, Fabio Caraffini, Anna V. Kononova
Emergence of Structural Bias in Differential Evolution. CoRR (2021)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there anisotropy in structural bias? GECCO Companion (2021)
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. DSAA (2021)
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
Differential evolution outside the box. Inf. Sci. 581 (2021)
Rick Boks, Anna V. Kononova, Hao Wang
Quantifying the impact of boundary constraint handling methods on differential evolution. GECCO Companion (2021)
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. CoRR (2021)
Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. SSCI (2021)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there Anisotropy in Structural Bias? CoRR (2021)
Bas van Stein, Fabio Caraffini, Anna V. Kononova
Emergence of structural bias in differential evolution. GECCO Companion (2021)
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. GECCO Companion (2021)
Nils van den Honert, Diederick Vermetten, Anna V. Kononova
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages. CoRR (2021)
Rick Boks, Anna V. Kononova, Hao Wang
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution. CoRR (2021)
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Can Single Solution Optimisation Methods Be Structurally Biased? CEC (2020)
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
Differential evolution outside the box. CoRR (2020)
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) (2020)
Fabio Caraffini, Anna V. Kononova, David Corne
Infeasibility and structural bias in differential evolution. Inf. Sci. 496 (2019)
Fabio Caraffini, Anna V. Kononova, David Corne
Infeasibility and structural bias in Differential Evolution. CoRR (2019)
Elena Ivannikova, Anna V. Kononova, Timo Hämäläinen
Probabilistic group dependence approach for discovering overlapping clusters. MLSP (2016)
Aboubakar Hameed, Anna V. Kononova, David Corne
Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers. SSCI (2015)
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
Structural bias in population-based algorithms. Inf. Sci. 298 (2015)
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
Structural bias in population-based algorithms. CoRR (2014)
Anna V. Kononova, Philippe De Wilde, George M. Coghill
Advances in computational intelligence (UKCI 2012). Soft Comput. 17 (12) (2013)
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. EvoApplications@EvoStar (2013)
Anna V. Kononova, Derek B. Ingham, Mohamed Pourkashanian
Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics. IEEE Congress on Evolutionary Computation (2008)
Anna V. Kononova, Kevin J. Hughes, Mohamed Pourkashanian, Derek B. Ingham
Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics. IEEE Congress on Evolutionary Computation (2007)
Ferrante Neri, Giuseppe Leonardo Cascella, Nadia Salvatore, Anna V. Kononova, Giuseppe Acciani
Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives. EvoWorkshops (2006)
Ferrante Neri, Anna V. Kononova, Giuseppe Delvecchio, Marcello Sylos Labini, Alexey V. Uglanov
A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems. EvoWorkshops (2005)