Anna Kononova
Universitair docent
- Naam
- Dr. A.V. Kononova
- Telefoon
- 071 5274799
- a.kononova@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-4138-7024
Promovendi
Nieuws
Externe promovendi
Oud promovendi
Universitair docent
- Faculteit der Wiskunde en Natuurwetenschappen
- LION
- de Nobel Jacob, Briaire Jeroen J., Bäck Thomas H.W., Kononova Anna V. & Frijns Johan H.M. (2026), From spikes to speech: NeuroVoc — A biologically plausible vocoder framework for auditory perception and cochlear implant simulation, Hearing Research 469: 109469 (109469).
- Vonk M.C., Vermetten D.L., Nobel J.P. de, Brand S., Malekovic N., Bäck T.H.W., Laarman A.W. & Kononova A.V. (2025), Optimizing causal interventions in hybrid bayesian networks: a discretization, knowledge compilation, and heuristic optimization approach. Lesot M.J., Vieira S., Reformat M.Z., Carvalho J.P., Batista F., Bouchon-Meunier B. & Yager R.R. (red.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2024. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) 22 juli 2024 - 26 juli 2024. Lecture Notes in Networks and Systems nr. 1174. Cham: Springer. 245–256.
- Ferreira Correia L., Goos J.C., Klein P., Bäck T.H.W. & Kononova A.V. (2025), TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data. Bäck T.H.W., Stein N. van, Wagner C., Garibaldi J.M., Marcelloni F., Lam H.K., Cottrell M., Doctor F., Filipe J., Warwick K. & Kacprzyk J. (red.), Computational intelligence: IJCCI 2023. Computational Intelligence. IJCCI 2023 13 november 2023 - 15 november 2023. Studies in Computational Intelligence nr. 1196. Cham: Springer . 106-132.
- Ferreira Correia L., Goos J.C., Bäck T.H.W. & Kononova A.V. (2025), PATH: a discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series, Big Data Research 42: 100573.
- Stein N. van, Kononova A.V., Yin H. & Bäck T.H.W. (2025), BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. Ochoa G. (red.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO '25) 14 juli 2025 - 18 juli 2025. New York, U.S.A.: Association for Computing Machinery. 2336 - 2344.
- Stein N. van, Kononova A.V., Kotthoff L. & Bäck T.H.W. (2025), Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. Ochoa G. (red.), GECCO '25Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO '25) 14 juli 2025 - 18 juli 2025. New York, U.S.A.: Association for Computing Machinery. 943 - 951.
- Yin H., Kononova A.V. , Bäck T.H.W. & Stein N. van (2025), Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. García-Sánchez P.,Hart E. & Thomson S.L. (red.), Applications of Evolutionary Computation: 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II. 28th European Conference, EvoApplications 2025 23 april 2025 - 25 april 2025. Lecture Notes in Computer Science. Cham: Springer . 403-417.
- Stein N. van, Vermetten D.L., Kononova A.V. & Bäck T.H.W. (2025), Explainable benchmarking for iterative optimization heuristics, Transactions on Evolutionary Learning 5(2): 13.
- Yin H., Kononova A.V., Bäck T.H.W. & Stein N. van (2025), Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. Ochoa G. (red.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO '25) 14 juli 2025 - 18 juli 2025. New York, U.S.A.: Association for Computing Machinery. 2354-2362.
- Thomson S.L., Renau Q, Vermetten D.L., Hart E., Stein N. van & Kononova A.V. (2025), Stalling in Space: Attractor Analysis for Any Algorithm. García-Sánchez P., Hart E. & Thomson S.L. (red.), Applications of Evolutionary Computation. EvoApplications 2025. 28th European Conference, EvoApplications 2025 23 april 2025 - 25 april 2025. Lecture Notes in Computer Science nr. 15612. Cham: Springer . 510-526.
- Kononova A.V., Vermetten D.L. & Stein N. van (2025), XAI for benchmarking black-box metaheuristics. In: Stein N. van & Kononova A.V. (red.), Explainable AI for evolutionary computation. Natural Computing Series. Singapore: Springer. 93-115.
- Stein N. van & Kononova A.V. (red.) (2025), Explainable AI for Evolutionary Computation. Natural Computing Series. Singapore: Springer.
- Wagner Bernd G Huang Qi Correia Lucas Bäck Thomas Kononova Anna Stein Niki Van (2025), REMAINING USEFUL LIFE IN COMPLEX MULTI-COMPONENT SYSTEMS: TAXONOMY, REVIEW, AND RESEARCH DIRECTIONS. Online: TechRxiv. [overig].
- Patel D., Nobel J.P. de, Kononova A.V., Brandl B.R. & Kohlhaas R. (2025), Design of efficient high-order immersed metagratings using an evolutionary algorithm, Optics Express 33(26): 53982-53997.
- Godin-Dubois K., Miras K. & Kononova A.V. (2025), AMaze: a benchmark generator for sighted maze-navigating agents, The Journal of Open Source Software 10(115): 1-5 (7208).
- Antonov Kirill, Tukker Teus, Botari Tiago, Bäck Thomas, Kononova Anna V. & van Stein Niki (2025), Quality–diversity-driven robust evolutionary optimization of optical designs, Optical Engineering 64(7): 075106.
- Geest F.N. van der, Tannemaat M.R., Ye F., Kononova A.V. & Rossum I.A. van (2025), Artificial intelligence for the analysis of head-upright tilt test data in syncope testing: a scoping review, Clinical Neurophysiology 177: 1-9 (2110933).
- Godin-Dubois K., Miras K. & Kononova A.V. (2025), AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents, Frontiers in Artificial Intelligence 8: 1-11 (1511712).
- Malekovic N., Vonk M.C., Birkman L., Sweijs T., Kononova A.V. & Bäck T.H.W. (2025), Applying causality to environmental security in Iraq, Scientific Reports 15: 16198.
- Vonk Maarten C, Kononova Anna V, Bäck Thomas & Sweijs Tim (2025), Multi-agent influence diagrams to hybrid threat modeling, The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology : 15485129251315178.
- van Stein Niki, Vermetten Diederick, Kononova Anna & Bäck Thomas (2025), Explainable Benchmarking for Iterative Optimization Heuristics, GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO '25) 14 juli 2025 - 18 juli 2025: ACM. 79-80.
- Nobel J.P. de, Vermetten D.L., Wang H., Kononova A., Rudolph G. & Bäck T.H.W. (2025), Abnormal mutations: evolution strategies don't require Gaussianity. Ochoa G. (red.), GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO '25) 14 juli 2025 - 18 juli 2025. New York, U.S.A.: Association for Computing Machinery. 701-709.
- Siemons Marijn, Veen Martijn, Malysheva Irina, Algera Johannes, Philippi Stefan, Antonov Kirill, van Stein Niki, Loicq Jérôme, Bhattacharya Nandini, Berlich Rene, Kononova Anna V. & Kohlhaas Ralf (2025), Development of a photonic crystal spectrometer for greenhouse gas measurements. Bernard Frédéric Karafolas Nikos Kubik Philippe Minoglou Kyriaki (red.). International Conference on Space Optics 2024 21 oktober 2024 - 25 oktober 2024: SPIE. 26.
- Nobel J.P. de, Martens S.S.M., Briaire J.J., Bäck T.H.W., Kononova A.V. & Frijns J.H.M. (2024), Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling, Hearing Research 447: 109011.
- Ferreira Correia L., Goos J.-C., Klein P., Bäck T.H.W. & Kononova A.V. (2024), Online model-based anomaly detection in multivariate time series: taxonomy, survey, research challenges and future directions, Engineering Applications of Artificial Intelligence 138(part A): 109323.
- Vonk M.C., Brand S., Malekovic N., Bäck T.H.W., Laarman A.W. & Kononova A.V. (2024), Balancing computational cost and accuracy in inference of continuous Bayesian networks. Lawrence N. (red.), Proceedings of the 12th international conference on probabilistic graphical models, PMLR. Probabilistic Graphical Models (PGM) 2024 11 september 2024 - 13 september 2024. Proceedings of Machine Learning Research nr. 246: PMLR. 361-381.
- Vermetten D.L., Doerr C., Wang H., Kononova A.V. & Bäck T.H.W. (2024), Large-scale benchmarking of metaphor-based optimization heuristics, Large-scale benchmarking of metaphor-based optimization heuristics. Gecco '24 Genetic and evolutionary computation 14 juli 2024 - 18 juli 2024. New York: Association for Computing Machinery. 41-49.
- Nobel J.P. de, Vermetten D.L., Kononova A.V., Shir O.M. & Bäck T.H.W. (2024), Avoiding redundant restarts in multimodal global optimization. Affenzeller M., Winkler S.M., Kononova A.V., Trautmann H., Tusar T., Machado P. & Bäck T.H.W. (red.), Parallel problem solving from nature: PPSN XVIII. Parallel Problem Solving from Nature – PPSN XVIII 14 september 2024 - 18 september 2024. Lecture Notes in Computer Science nr. 15149. Cham: Springer. 268–283.
- Winter R. de, Long F.X., Thomaser A.M., Bäck T.H.W., Stein N. van & Kononova A.V. (2024), Landscape analysis based vs. domain-specific optimization for engineering design applications: a clear case, 2024 IEEE Conference on Artificial Intelligence (CAI). The 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024) 25 juni 2024 - 27 juni 2024: IEEE. 776-781.
- Antonov K., Tukker T., Botari T., Bäck T.H.W., Kononova A.V. & Stein N. van (2024), Quality-diversity driven robust evolutionary optimization of optical designs. Smith D.G. & Erdmann A. (red.), Optical design and engineering IX. SPIE Optical Systems Design, 2024 7 april 2024 - 12 april 2024: SPIE. 130230B.
- Antonov K., Kalkreuth R., Yang K., Bäck T.H.W., Stein N. van & Kononova A.V. (2024), A functional analysis approach to symbolic regression, GECCO '24: proceedings of the genetic and evolutionary computation conference companion. Gecco '24 Genetic and evolutionary computation 14 juli 2024 - 18 juli 2024. New York, N.Y., U.S.A.: Association for Computing Machinery. 859-867.
- van Stein Niki Thomson Sarah L. Kononova Anna V. (2024), A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories, 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part II. International Conference on Parallel Problem Solving from Nature (PPSN 2024) 14 september 2024 - 18 september 2024. Lecture Notes in Computer Science: Springer Nature Switzerland. 36-50.
- Antonov Kirill Kalkreuth Roman Yang Kaifeng Bäck Thomas Stein Niki Kononova Anna (2024), A Functional Analysis Approach to Symbolic Regression. GECCO '24: Genetic and Evolutionary Computation Conference 14 juli 2024 - 18 juli 2024: ACM. 859-867.
- Kononova Anna V., Vermetten Diederick, Caraffini Fabio, Mitran Madalina-A. & Zaharie Daniela (2024), The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation 32(1): 3-48.
- de Nobel Jacob, Vermetten Diederick, Bäck Thomas & Kononova Anna (2024), Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. 16th International Joint Conference on Computational Intelligence - ECTA; 20 november 2024 - 22 november 2024: SCITEPRESS - Science and Technology Publications. 120-126.
- Yin Haoran, Vermetten Diederick Ye Furong, Bäck Thomas H. W. & Kononova Anna (2024), Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. 16th International Joint Conference on Computational Intelligence - ECTA; 20 november 2024 - 22 november 2024: SCITEPRESS - Science and Technology Publications. 60-71.
- Nobel J.P. de, Kononova A.V., Briaire J.J., Frijns J.H.M. & Bäck T.H.W. (2023), Optimizing stimulus energy for cochlear implants with a machine learning model of the auditory nerve, Hearing Research 432: 108741.
- Vermetten D.L., López-Ibánez M., Mersmann O., Allmendinger R. & Kononova A.V. (2023), Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite, GECCO '23 Companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York: Association for Computer Machinery. 2346–2353.
- Long X.F., Vermetten D.L., Stein N. van & Kononova A.V. (2023), BBOB instance analysis: landscape properties and algorithm performance across problem instances. Correia J., Smith S. & Qaddoura R. (red.), Applications of evolutionary computation. International Conference on the Applications of Evolutionary Computation (Part of EvoStar) 12 april 2023 - 14 april 2023. Lecture Notes in Computer Science nr. 13989. Cham: Springer. 380-395.
- Stein N. van, Vermetten D.L., Caraffini F. & Kononova A.V. (2023), Deep BIAS: detecting structural bias using explainable AI, GECCO '23 companion: proceedings of the companion conference on genetic and evolutionary computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, U.S.A.: Association for Computing Machinery. 455-458.
- Vermetten D.L., Caraffini F., Kononova A.V. & Bäck T.H.W. (2023), Modular differential evolution, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 864–872.
- Thomaser A., Nobel J.P. de, Vermetten D.L., Ye F., Bäck T.H.W. & Kononova A.V. (2023), When to be discrete: analyzing algorithm performance on discretized continuous problems, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York: Association for Computer Machinery. 856-863.
- Stein. N. van, Winter R. de, Bäck T.H.W. & Kononova A. V. (2023), AI for expensive optimization problems in industry, 2023 IEEE Conference on Artificial Intelligence (CAI). 2023 IEEE Conference on Artificial Intelligence 5 juni 2023 - 6 juni 2023: IEEE. 251-254.
- Back T.H.W., Kononova A.V., Stein N. van, Wang H., Antonov K., Kalkreuth R.T., Nobel J.P. de, Vermetten D., Winter R. de & Ye F. (2023), Evolutionary algorithms for parameter optimization: thirty years later, Evolutionary Computation 31(2): 81-122.
- Thomaser A.M., Vogt M.E., Kononova A.V. & Bäck T.H.W. (2023), Transfer of multi-objectively tuned CMA-ES parameters to a vehicle dynamics problem. Emmerich M.T., Deutz A., Wang H., Kononova A.V., Naujoks B., Li K., Miettinen K. & Yevseyeva I. (red.), Evolutionary Multi-Criterion Optimization: EMO 2023. Evolutionary Multi-Criterion Optimization (EMO) 2023 20 maart 2023 - 24 maart 2023. Lecture Notes in Computer Science nr. 13970. Cham: Springer . 546–560.
- Thomaser A.M., Vogt M.E., Bäck T.H.W. & Kononova A.V. (2023), Real-world optimization benchmark from vehicle dynamics: specification of problems in 2D and methodology for transferring (meta-)optimized algorithm parameters. Stein N. van: Marcellini F., Lam H.K., Cottrell M. & Filipe J. (red.), 15th International Conference on Evolutionary Computation Theory and Applications. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023: SCITEPRESS - Science and Technology Publications. 31-40.
- Thomaser A.M., Vogt M.E., Bäck T.H.W. & Kononova A.V. (2023), Optimizing CMA-ES with CMA-ES. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (red.), 15th International Conference on Evolutionary Computation Theory and Applications. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023: SCITEPRESS - Science and Technology Publications. 214–221.
- Long F.X., Vermetten D, Kononova A.V., Kalkreuth R, Yang K., Bäck T.H.W. & Stein N. van (2023), Challenges of ELA-guided function evolution using genetic programming. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (red.), Proceedings of the 15th international joint conference on computational intelligence ECTA. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023 nr. 1. Portugal: SciTePress. 119-130.
- Antonov K., Kononova A.V., Bäck T.H.W. & Stein N. van (2023), Curing ill-conditionality via representation-agnostic distance-driven perturbations, Proceedings of the 17th ACM/SIGEVO conference on foundations of genetic algorithms. FOGA '23: Foundations of Genetic Algorithms XVII 30 augustus 2023 - 1 september 2023. New York, NY, USA: Association for Computing Machinery. 15–26.
- Antonov K., Botari T., Tukker T., Bäck T.H.W., Stein N. van & Kononova A.V. (2023), New solutions to Cooke triplet problem via analysis of attraction basins. Kress B.C. & Czarske J.W. (red.), Proceedings SPIE 12624, Digital Optical Technologies 2023. SPIE Digital Optical Technologies 2023 25 juni 2023 - 29 juni 2023: SPIE. 126240T.
- Long F.X., Vermetten D.L., Stein N. van & Kononova A.V. (2023), BBOB instance analysis: landscape properties and algorithm performance across problem instances. Correia J., Smith S. & Qaddoura R. (red.), Applications of evolutionary computation. 26th European Conference, EvoApplications 2023 12 april 2023 - 14 april 2023. Lecture Notes in Computer Science nr. 13989. Cham: Springer. 380-395.
- Ferreira Correia L., Goos J.C., Klein P., Bäck T.H.W. & Kononova A.V. (2023), MA-VAE: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing. Stein N. van, Marcelloni F., Lam H.K., Cottrell M & Filipe J. (red.), Proceedings of the 15th international joint conference on computational intelligence. 15th International Conference on Neural Computation Theory and Applications 13 november 2023 - 15 november 2023: Scitepress. 407-418.
- Vonk M.C., Malekovic N., Bäck T.H.W. & Kononova A.V. (2023), Disentangling causality: assumptions in causal discovery and inference, Artificial Intelligence Review 56(9): 10613-10649.
- Bäck Thomas H. W. Kononova Anna V. van Stein Bas Wang Hao Antonov Kirill A. Kalkreuth Roman T. de Nobel Jacob Vermetten Diederick de Winter Roy Ye Furong (2023), Evolutionary Algorithms for Parameter Optimization—Thirty Years Later, Evolutionary Computation 31(2): 81-122.
- Wong A.S.W., Bäck T.H.W., Kononova A.V. & Plaat A. (2023), Deep multiagent reinforcement learning: challenges and directions, Artificial Intelligence Review 56: 5023-5056.
- Tannemaat M.R., Kefalas M., Geraedts V.J., Remijn-Nelissen L., Verschuuren A.J.M., Koch M., Kononova A.V., Wang H. & Bäck T.H.W. (2023), Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach, Clinical Neurophysiology 146: 49-54.
- Rooij L. van, Winter R. de, Kononova A.V. & Stein N. van (2022), Explainable AI for ship design analysis with AIS and static ship data. Vladimir N., Malencia S & Senjanovic. I. (red.), International Symposium on Practical Design of Ships and Other Floating Structures: PRADS 2022 Proceedings. 15th International Symposium on Practical design of ships and other floating structures 9 oktober 2022 - 13 oktober 2022. Zagreb, Croatia: Faculty of Mechanical Engineering and Naval Architecture. 1521-1535.
- Huang Q., Winter R. de, Stein N. van, Bäck T.H.W. & Kononova A.V. (2022), Multi-surrogate assisted efficient global optimization for discrete problems. Ishibuchi H., Kwoh C.K., Tan A.H., Srinivasan D, Miao C., Trivedi A. & Crockett K. (red.), 2022 IEEE Symposium Series on Computational Intelligence (SSCI). 2022 IEEE Symposium Series on Computational Intelligence (SSCI) 4 december 2022 - 7 december 2022: IEEE. 1650-1658.
- Vermetten Diederick van Stein Bas Caraffini Fabio Minku Leandro L. Kononova Anna V. (2022), BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain, IEEE Transactions on Evolutionary Computation 26: 1380-1393.
- Vermetten D.L., Stein B. van, Kononova A.V. & Caraffini F. (2022), Analysis of structural bias in differential evolution configurations. In: Kumar B.V., Oliva D. & Suganthan P.N (red.), Differential evolution: from theory to practice. Studies in Computational Intelligence. Singapore: Springer. 1-22.
- Nguyen D.A., Kononova A.V., Menzel S., Sendhoff B. & Bäck T.H.W. (2022), An efficient contesting procedure for AutoML optimization, IEEE Access 10: 2169-3536.
- Thomaser A.M., Kononova A.V., Vogt M. & Bäck T.H.W. (2022), One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. Fieldsend J.E. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022: ACM. 2036-2045.
- Vermetten D.L., Caraffini F., Stein B. van & Kononova A.V. (2022), Using structural bias to analyse the behaviour of modular CMA-ES. Fieldsend J.E. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. Boston: ACM. 1674-1682.
- Yang F., Kefalas M., Koch M., Kononova A.V., Qiao Y. & Bäck T.H.W. (2022), Auto-REP: an automated regression pipeline approach for high-efficiency earthquake prediction using LANL data, 2022 14th International conference on computer and automation engineering ICCAE 2022. 2022 14th International Conference on Computer and Automation Engineering (ICCAE) 25 maart 2022 - 27 maart 2022: IEEE. 127-134.
- Kononova A.V., Caraffini F. & Bäck T.H.W. (2021), Differential evolution outside the box, Information Sciences 581: 587-604.
- Nguyen D.A., Kong J., Wang H., Menzel S., Sendhoff B., Kononova A.V. & Bäck T.H.W. (2021), Improved automated CASH optimization with tree parzen estimators for class imbalance problems, 2021 IEEE 8th international conference on data science and advanced analytics (DSAA). IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) 6 oktober 2021 - 9 december 2021: Institute of Electrical and Electronics Engineers (IEEE). 1-9.
- Nguyen D.A., Kononova A.V., Menzel S., Sendhoff B. & Bäck T.H.W. (2021), Efficient AutoML via combinational sampling. IEEE Symposium Series on Computational Intelligence (SSCI 2021) 5 december 2021 - 7 december 2021: Institute of Electrical and Electronics Engineers (IEEE).
- Vermetten D., Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2021), Is there anisotropy in structural bias?. Krawiec K. (red.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021. Lille, France: ACM. 1243–1250.
- Ponse K., Kononova A.V., Loleyt M. & Stein B. van (2021), Using machine learning to detect rotational and local reflectional symmetries in 2D images, 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE Symposium Series on Computational Intelligence (SSCI 2021) 5 december 2021 - 7 december 2021. Orlando, Florida: IEEE. 01-08.
- Vermetten D.L., Stein B. van, Caraffini F., Minku L. & Kononova A.V. (2021), BIAS: a toolbox for benchmarking structural bias in the continuous domain. Institute of Electrical and Electronics Engineers (IEEE). [working paper].
- Stein B. van, Caraffini F. & Kononova A.V. (2021), Emergence of structural bias in differential evolution. Chicano F. (red.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 1234-1242.
- Kononova A.V., Shir O., Tukker T., Frisco P., Zeng S. & Bäck T.H.W. (2021), Locating the local minima in lens design with machine learning. Johnson R.B., Mahajan V.N. & Thibault S. (red.), Current Developments in Lens Design and Optical Engineering XXII. SPIE Optical Engineering and Applications 2021 1 augustus 2021 - 5 augustus 2021 nr. 11841: SPIE. 1181402.
- Boks R., Kononova A.V. & Wang H. (2021), Quantifying the impact of boundary constraint handling methods on differential evolution. Chicano F. (red.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021. New York, U.S.A.: ACM. 1199-1207.
- Kononova A.V., Shir O.M., Tukker T., Frisco P., Zeng S. & Bäck T.H.W. (2021), Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. Chicano F. (red.), GECCO'21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 1596-1604.
- Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2020), Can single solution optimisation methods be structurally biased?, 2020 IEEE Congress on evolutionary computation (CEC). 2020 IEEE Congress on Evolutionary Computation (CEC) 19 juli 2020 - 24 juli 2020: IEEE. 1-9.
- Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2020), Can compact optimisation algorithms be structurally biased?. Bäck T.H.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautmann H. (red.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. 12269. Cham: Springer . 229-242.