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Journal Articles
- 2024
[j11]Lucas Correia
, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions. Eng. Appl. Artif. Intell. 138: 109323 (2024)- [j10]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): 3-48 (2024) - 2023
- [j9]Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat:
Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. 56(6): 5023-5056 (2023) - [j8]Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova:
Disentangling causality: assumptions in causal discovery and inference. Artif. Intell. Rev. 56(9): 10613-10649 (2023) - [j7]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): 81-122 (2023) - 2022
- [j6]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10: 75754-75771 (2022) - [j5]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): 1380-1393 (2022) - 2021
- [j4]Anna V. Kononova, Fabio Caraffini, Thomas Bäck:
Differential evolution outside the box. Inf. Sci. 581: 587-604 (2021) - 2019
- [j3]Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in differential evolution. Inf. Sci. 496: 161-179 (2019) - 2015
- [j2]Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini:
Structural bias in population-based algorithms. Inf. Sci. 298: 468-490 (2015) - 2013
- [j1]Anna V. Kononova, Philippe De Wilde, George M. Coghill:
Advances in computational intelligence (UKCI 2012). Soft Comput. 17(12): 2181-2183 (2013)
Conference and Workshop Papers
- 2024
- [c35]Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. GECCO 2024 - [c34]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO 2024 - [c33]Niki van Stein, Sarah L. Thomson, Anna V. Kononova:
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. PPSN (2) 2024: 36-50 - [c32]Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. PPSN (2) 2024: 268-283 - 2023
- [c31]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: 546-560 - [c30]Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova:
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. EvoApplications@EvoStar 2023: 380-395 - [c29]Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA 2023: 15-26 - [c28]Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova:
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion 2023: 455-458 - [c27]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: 856-863 - [c26]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. GECCO 2023: 864-872 - [c25]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: 2337-2345 - [c24]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: 2346-2353 - [c23]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: 31-40 - [c22]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: 119-130 - [c21]André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova:
Optimizing CMA-ES with CMA-ES. IJCCI 2023: 214-221 - [c20]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: 407-418 - 2022
- [c19]Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova:
Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion 2022: 1674-1682 - [c18]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: 2036-2045 - [c17]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: 127-134 - [c16]Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova:
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. SSCI 2022: 1650-1658 - 2021
- [c15]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: 1-9 - [c14]Rick Boks, Anna V. Kononova, Hao Wang:
Quantifying the impact of boundary constraint handling methods on differential evolution. GECCO Companion 2021: 1199-1207 - [c13]Bas van Stein, Fabio Caraffini, Anna V. Kononova:
Emergence of structural bias in differential evolution. GECCO Companion 2021: 1234-1242 - [c12]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there anisotropy in structural bias? GECCO Companion 2021: 1243-1250 - [c11]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: 1596-1604 - [c10]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Efficient AutoML via Combinational Sampling. SSCI 2021: 1-10 - [c9]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: 1-8 - 2020
- [c8]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Single Solution Optimisation Methods Be Structurally Biased? CEC 2020: 1-9 - [c7]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) 2020: 229-242 - 2016
- [c6]Elena Ivannikova, Anna V. Kononova, Timo Hämäläinen:
Probabilistic group dependence approach for discovering overlapping clusters. MLSP 2016: 1-6 - 2015
- [c5]Aboubakar Hameed, Anna V. Kononova, David Corne:
Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers. SSCI 2015: 1695-1702 - 2008
- [c4]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: 3905-3912 - 2007
- [c3]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: 2366-2373 - 2006
- [c2]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: 805-809 - 2005
- [c1]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: 610-616
Editorship
- 2024
- [e7]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e6]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e5]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e4]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - 2023
- [e3]Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva:
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings. Lecture Notes in Computer Science 13970, Springer 2023, ISBN 978-3-031-27249-3 [contents] - 2022
- [e2]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13398, Springer 2022, ISBN 978-3-031-14713-5 [contents] - [e1]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13399, Springer 2022, ISBN 978-3-031-14720-3 [contents]
Data and Artifacts
- 2024
- [d2]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics - Reproducibility Files. Zenodo, 2024
- 2023
- [d1]Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein:
Challenges of ELA-based Function Evolution using Genetic Programming - Reproducability files. Zenodo, 2023
Informal and Other Publications
- 2024
- [i33]Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck:
Explainable Benchmarking for Iterative Optimization Heuristics. CoRR abs/2401.17842 (2024) - [i32]Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. CoRR abs/2402.06299 (2024) - [i31]Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova:
Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR abs/2402.06912 (2024) - [i30]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 abs/2402.07654 (2024) - [i29]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR abs/2402.09800 (2024) - [i28]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 abs/2404.17323 (2024) - [i27]Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR abs/2405.01226 (2024) - [i26]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 abs/2407.06849 (2024) - [i25]Kevin Godin-Dubois, Olivier Weissl, Karine Miras, Anna V. Kononova:
Interactive embodied evolution for socially adept Artificial General Creatures. CoRR abs/2407.21357 (2024) - [i24]Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova:
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions. CoRR abs/2408.03747 (2024) - [i23]Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova:
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. CoRR abs/2409.15941 (2024) - 2023
- [i22]Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova:
Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR abs/2304.01869 (2023) - [i21]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. CoRR abs/2304.09524 (2023) - [i20]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 abs/2304.13117 (2023) - [i19]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 abs/2305.12221 (2023) - [i18]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 abs/2305.15102 (2023) - [i17]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 abs/2305.15245 (2023) - [i16]Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein:
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR abs/2306.02985 (2023) - [i15]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 abs/2309.02253 (2023) - 2022
- [i14]Koen Ponse, Anna V. Kononova, Maria Loleyt, Bas van Stein:
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images. CoRR abs/2201.06594 (2022) - [i13]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. CoRR abs/2203.03512 (2022) - [i12]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 abs/2211.07285 (2022) - [i11]Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova:
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances. CoRR abs/2211.16318 (2022) - [i10]Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova:
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. CoRR abs/2212.06438 (2022) - 2021
- [i9]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there Anisotropy in Structural Bias? CoRR abs/2105.04480 (2021) - [i8]Bas van Stein, Fabio Caraffini, Anna V. Kononova:
Emergence of Structural Bias in Differential Evolution. CoRR abs/2105.04693 (2021) - [i7]Rick Boks, Anna V. Kononova, Hao Wang:
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution. CoRR abs/2105.06757 (2021) - [i6]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 abs/2105.10541 (2021) - [i5]Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat:
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. CoRR abs/2106.15691 (2021) - [i4]Nils van den Honert, Diederick Vermetten, Anna V. Kononova:
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages. CoRR abs/2109.12997 (2021) - 2020
- [i3]Anna V. Kononova, Fabio Caraffini, Thomas Bäck:
Differential evolution outside the box. CoRR abs/2004.10489 (2020) - 2019
- [i2]Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in Differential Evolution. CoRR abs/1901.06153 (2019) - 2014
- [i1]Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini:
Structural bias in population-based algorithms. CoRR abs/1408.5350 (2014)
Coauthor Index
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