Anna Kononova
Assistant professor
- Name
- Dr. A.V. Kononova
- Telephone
- +31 71 527 4799
- a.kononova@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-4138-7024
PhD Candidates
News
External PhD Candidates
Assistant professor
- Science
- Leiden Inst of Advanced Computer Science
- 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 July 2023 - 19 July 2023. New York: Association for Computer Machinery. 2346–2353.
- 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 June 2023 - 6 June 2023: IEEE. 251-254.
- 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. (Eds.), 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.
- 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. (Eds.), Evolutionary Multi-Criterion Optimization: EMO 2023. Evolutionary Multi-Criterion Optimization (EMO) 2023 20 March 2023 - 24 March 2023. Lecture Notes in Computer Science no. 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. (Eds.), 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.
- 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.
- 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 July 2023 - 19 July 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 864–872.
- 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.
- 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 July 2023 - 19 July 2023. New York: Association for Computer Machinery. 856-863.
- 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. (Eds.), 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 no. 13989. Cham: Springer. 380-395.
- 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.
- 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.
- 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 July 2023 - 19 July 2023. New York, U.S.A.: Association for Computing Machinery. 455-458.
- 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 March 2022 - 27 March 2022: IEEE. 127-134.
- 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. (Eds.), 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 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 (Eds.), Differential evolution: from theory to practice. Studies in Computational Intelligence. Singapore: Springer. 1-22.
- 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. (Ed.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022. Boston: ACM. 1674-1682.
- 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. (Eds.), 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 October 2022 - 13 October 2022. Zagreb, Croatia: Faculty of Mechanical Engineering and Naval Architecture. 1521-1535.
- 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. (Ed.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 July 2022 - 13 July 2022: ACM. 2036-2045.
- Stein B. van, Caraffini F. & Kononova A.V. (2021), Emergence of structural bias in differential evolution. Chicano F. (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021: ACM. 1234-1242.
- 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. (Ed.), GECCO'21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021: ACM. 1596-1604.
- 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. (Eds.), Current Developments in Lens Design and Optical Engineering XXII. SPIE Optical Engineering and Applications 2021 1 August 2021 - 5 August 2021 no. 11841: SPIE. 1181402.
- 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., Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2021), Is there anisotropy in structural bias?. Krawiec K. (Ed.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021. Lille, France: ACM. 1243–1250.
- 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).
- 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. In: 2021 IEEE 8th international conference on data science and advanced analytics (DSAA).: Institute of Electrical and Electronics Engineers (IEEE). 1-9.
- 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].
- Boks R., Kononova A.V. & Wang H. (2021), Quantifying the impact of boundary constraint handling methods on differential evolution. Chicano F. (Ed.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 July 2021 - 14 July 2021. New York, U.S.A.: ACM. 1199-1207.
- 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. (Eds.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 September 2020 - 9 September 2020 no. 12269. Cham: Springer . 229-242.
- 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 July 2020 - 24 July 2020. Preprints: IEEE. 1-9.