Anna V. Kononova

132 papers A 7B 4C 8Journal 74Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
How does downsampling affect needle electromyography signals? A generalisable workflow for understanding downsampling effects on high-frequency time series.
CoRR
Mathieu Cherpitel, Janne Luijten, Thomas Bäck, Camiel Verhamme, Martijn Tannemaat, Anna V. Kononova
2026 J jnl
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI.
CoRR
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2026 J jnl
Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization.
CoRR
Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, Thomas Bäck, Niki van Stein
2026 J jnl
Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice.
CoRR
Kirill A. Antonov, Teus Tukker, Tiago Botari, Thomas H. W. Bäck, Anna V. Kononova, Niki van Stein
2026 J jnl
Multi-Agent Influence Diagrams to Hybrid Threat Modeling.
CoRR
Maarten C. Vonk, Anna V. Kononova, Thomas Bäck, Tim Sweijs
2026 J jnl
State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models.
CoRR
Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026 J jnl
State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models.
Trans. Mach. Learn. Res.
Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026 J jnl
Structural bias in multi-objective optimisation.
CoRR
Jakub Kudela, Niki van Stein, Thomas Bäck, Anna V. Kononova
2025 J jnl
AMaze: a benchmark generator for sighted maze-navigating agents.
J. Open Source Softw.
Kevin Godin-Dubois, Karine Miras, Anna V. Kononova
2025 J jnl
AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents.
Frontiers Artif. Intell.
Kevin Godin-Dubois, Karine Miras, Anna V. Kononova
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
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics.
GECCO Companion
Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025 J jnl
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics.
CoRR
Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025 — conf
Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery.
IJCCI (2)
Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025 J jnl
Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery.
CoRR
Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025 J jnl
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.
CoRR
Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025 A conf
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms.
GECCO
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025 J jnl
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms.
CoRR
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025 — conf
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.
EvoApplications (2)
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 J jnl
Corrigendum to "Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions" [Eng. Appl. Artif. Intell. 138 (2024) 109323].
Eng. Appl. Artif. Intell.
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2025 J jnl
DQS: A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches.
CoRR
Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2025 — conf
Explainable Benchmarking for Iterative Optimization Heuristics.
GECCO Companion
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim.
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design.
CoRR
Niki van Stein, Anna V. Kononova, 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 J jnl
Graphical Models for Decision-Making: Integrating Causality and Game Theory.
CoRR
Maarten C. Vonk, Mauricio Gonzalez Soto, Anna V. Kononova
2025 J jnl
Lost in Vagueness: Towards Context-Sensitive Standards for Robustness Assessment under the EU AI Act.
CoRR
Roberta Tamponi, Carina Prunkl, Thomas Bäck, Anna V. Kononova
2025 — conf
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery.
GECCO Companion
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 J jnl
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery.
CoRR
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 J jnl
PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series.
Big Data Res.
Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2025 — conf
Reasoning Capabilities of Large Language Models on Dynamic Tasks.
FLLM
Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2025 — conf
Stalling in Space: Attractor Analysis for Any Algorithm.
EvoApplications (2)
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2025 — conf
Structural bias in optimization algorithms.
GECCO Companion
Anna V. Kononova, Niki van Stein
2025 J jnl
Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models.
CoRR
Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2024 J jnl
A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series.
CoRR
Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2024 — conf
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories.
PPSN (2)
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 J jnl
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories.
CoRR
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 A conf
A Functional Analysis Approach to Symbolic Regression.
GECCO
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 J jnl
A Functional Analysis Approach to Symbolic Regression.
CoRR
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 J jnl
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents.
CoRR
Kevin Godin-Dubois, Karine Miras, Anna V. Kononova
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
Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks.
PGM
Maarten C. Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2024 J jnl
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.
CoRR
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2024 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
CoRR
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2024 C conf
Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite.
IJCCI
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
2024 J jnl
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems.
CoRR
Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova
2024 J jnl
Interactive embodied evolution for socially adept Artificial General Creatures.
CoRR
Kevin Godin-Dubois, Oliver Weissl, Karine Miras, Anna V. Kononova
2024 — conf
Landscape Analysis Based vs. Domain-Specific Optimization for Engineering Design Applications: A Clear Case.
CAI
Roy de Winter, Fu Xing Long, André Thomaser, Thomas H. W. Bäck, Niki van Stein, Anna V. Kononova
2024 A conf
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics.
GECCO
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024 J jnl
Large-scale Benchmarking of Metaphor-based Optimization Heuristics.
CoRR
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024 J jnl
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions.
CoRR
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2024 J jnl
Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions.
Eng. Appl. Artif. Intell.
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
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 — ed.
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I
PPSN (1)
Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024 — ed.
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II
PPSN (2)
Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024 — ed.
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III
PPSN (3)
Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024 — ed.
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV
PPSN (4)
Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
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
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms.
CoRR
Kirill A. Antonov, Marijn Siemons, Niki van Stein, Thomas H. W. Bäck, Ralf Kohlhaas, 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 J jnl
Stalling in Space: Attractor Analysis for any Algorithm.
CoRR
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2024 J jnl
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data.
CoRR
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2024 J jnl
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond.
Evol. Comput.
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2023 — conf
AI for Expensive Optimization Problems in Industry.
CAI
Niki van Stein, Roy de Winter, Thomas Bäck, Anna V. Kononova
2023 — conf
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
GECCO Companion
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023 J jnl
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
CoRR
Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023 — conf
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances.
EvoApplications@EvoStar
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2023 C conf
Challenges of ELA-Guided Function Evolution Using Genetic Programming.
IJCCI
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 J jnl
Challenges of ELA-guided Function Evolution using Genetic Programming.
CoRR
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 A conf
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.
FOGA
Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023 — conf
Deep BIAS: Detecting Structural Bias using Explainable AI.
GECCO Companion
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023 J jnl
Deep multiagent reinforcement learning: challenges and directions.
Artif. Intell. Rev.
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
2023 J jnl
Deep-BIAS: Detecting Structural Bias using Explainable AI.
CoRR
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023 J jnl
Disentangling causality: assumptions in causal discovery and inference.
Artif. Intell. Rev.
Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova
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 C ed.
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings
EMO
Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva
2023 C conf
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing.
IJCCI
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2023 J jnl
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing.
CoRR
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2023 A conf
Modular Differential Evolution.
GECCO
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023 J jnl
Modular Differential Evolution.
CoRR
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023 C conf
Optimizing CMA-ES with CMA-ES.
IJCCI
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
2023 — conf
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite.
GECCO Companion
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
2023 J jnl
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite.
CoRR
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
2023 C conf
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters.
IJCCI
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
2023 J jnl
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems.
CoRR
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023 C conf
Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem.
EMO
André Thomaser, Marc-Eric Vogt, Anna V. Kononova, 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 J jnl
An Efficient Contesting Procedure for AutoML Optimization.
IEEE Access
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2022 — conf
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data.
ICCAE
Fan Yang, Marios Kefalas, Milan Koch, Anna V. Kononova, Yanan Qiao, Thomas Bäck
2022 J jnl
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances.
CoRR
Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova
2022 J jnl
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.
IEEE Trans. Evol. Comput.
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
2022 — conf
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems.
SSCI
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022 J jnl
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems.
CoRR
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022 — conf
One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis.
GECCO Companion
André Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bäck
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 — ed.
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I
PPSN (1)
Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar
2022 — ed.
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II
PPSN (2)
Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar
2022 J jnl
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond.
CoRR
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2022 J jnl
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images.
CoRR
Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
2022 — conf
Using structural bias to analyse the behaviour of modular CMA-ES.
GECCO Companion
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
2021 J jnl
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge.
CoRR
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021 — conf
Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.
GECCO Companion
Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021 J jnl
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages.
CoRR
Nils van den Honert, Diederick Vermetten, Anna V. Kononova
2021 J jnl
Differential evolution outside the box.
Inf. Sci.
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2021 — conf
Efficient AutoML via Combinational Sampling.
SSCI
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2021 J jnl
Emergence of Structural Bias in Differential Evolution.
CoRR
Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021 — conf
Emergence of structural bias in differential evolution.
GECCO Companion
Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021 B conf
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
DSAA
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck
2021 J jnl
Is there Anisotropy in Structural Bias?
CoRR
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021 — conf
Is there anisotropy in structural bias?
GECCO Companion
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021 J jnl
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
CoRR
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
2021 J jnl
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution.
CoRR
Rick Boks, Anna V. Kononova, Hao Wang
2021 — conf
Quantifying the impact of boundary constraint handling methods on differential evolution.
GECCO Companion
Rick Boks, Anna V. Kononova, Hao Wang
2021 — conf
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images.
SSCI
Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein
2020 — conf
Can Compact Optimisation Algorithms Be Structurally Biased?
PPSN (1)
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020 B conf
Can Single Solution Optimisation Methods Be Structurally Biased?
CEC
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020 J jnl
Differential evolution outside the box.
CoRR
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2019 J jnl
Infeasibility and structural bias in Differential Evolution.
CoRR
Fabio Caraffini, Anna V. Kononova, David Corne
2019 J jnl
Infeasibility and structural bias in differential evolution.
Inf. Sci.
Fabio Caraffini, Anna V. Kononova, David Corne
2016 — conf
Probabilistic group dependence approach for discovering overlapping clusters.
MLSP
Elena Ivannikova, Anna V. Kononova, Timo Hämäläinen
2015 — conf
Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers.
SSCI
Aboubakar Hameed, Anna V. Kononova, David Corne
2015 J jnl
Structural bias in population-based algorithms.
Inf. Sci.
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
2014 J jnl
Structural bias in population-based algorithms.
CoRR
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
2013 J jnl
Advances in computational intelligence (UKCI 2012).
Soft Comput.
Anna V. Kononova, Philippe De Wilde, George M. Coghill
2008 B conf
Simple Scheduled Memetic Algorithm for inverse problems in higher dimensions: Application to chemical kinetics.
IEEE Congress on Evolutionary Computation
Anna V. Kononova, Derek B. Ingham, Mohamed Pourkashanian
2007 B conf
Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics.
IEEE Congress on Evolutionary Computation
Anna V. Kononova, Kevin J. Hughes, Mohamed Pourkashanian, Derek B. Ingham
2006 — conf
Prudent-Daring vs Tolerant Survivor Selection Schemes in Control Design of Electric Drives.
EvoWorkshops
Ferrante Neri, Giuseppe Leonardo Cascella, Nadia Salvatore, Anna V. Kononova, Giuseppe Acciani
2005 — conf
A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems.
EvoWorkshops
Ferrante Neri, Anna V. Kononova, Giuseppe Delvecchio, Marcello Sylos Labini, Alexey V. Uglanov