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Anna V Kononova
Anna V Kononova
LIACS, Leiden University
Email verificata su liacs.leidenuniv.nl
Titolo
Citata da
Citata da
Anno
Deep multiagent reinforcement learning: Challenges and directions
A Wong, T Bäck, AV Kononova, A Plaat
Artificial Intelligence Review 56 (6), 5023-5056, 2023
1512023
Infeasibility and structural bias in differential evolution
F Caraffini, AV Kononova, D Corne
Information Sciences 496, 161-179, 2019
1032019
Structural bias in population-based algorithms
AV Kononova, DW Corne, P De Wilde, V Shneer, F Caraffini
Information Sciences 298, 468-490, 2015
912015
Evolutionary algorithms for parameter optimization—thirty years later
THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ...
Evolutionary Computation 31 (2), 81-122, 2023
432023
Differential evolution outside the box
AV Kononova, F Caraffini, T Bäck
Information Sciences 581, 587-604, 2021
402021
Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach
MR Tannemaat, M Kefalas, VJ Geraedts, L Remijn-Nelissen, ...
Clinical Neurophysiology 146, 49-54, 2023
352023
Structural bias in differential evolution: A preliminary study
F Caraffini, AV Kononova
AIP Conference Proceedings 2070 (1), 2019
302019
BBOB instance analysis: Landscape properties and algorithm performance across problem instances
FX Long, D Vermetten, B van Stein, AV Kononova
International Conference on the Applications of Evolutionary Computation …, 2023
28*2023
Bias: A toolbox for benchmarking structural bias in the continuous domain
D Vermetten, B van Stein, F Caraffini, LL Minku, AV Kononova
IEEE Transactions on Evolutionary Computation 26 (6), 1380-1393, 2022
272022
Simple scheduled memetic algorithm for inverse problems in higher dimensions: Application to chemical kinetics
AV Kononova, DB Ingham, M Pourkashanian
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
262008
Fitness diversity based adaptive memetic algorithm for solving inverse problems of chemical kinetics
AV Kononova, KJ Hughes, M Pourkashanian, DB Ingham
2007 IEEE Congress on Evolutionary Computation, 2366-2373, 2007
262007
Prudent-daring vs tolerant survivor selection schemes in control design of electric drives
F Neri, GL Cascella, N Salvatore, AV Kononova, G Acciani
Workshops on Applications of Evolutionary Computation, 805-809, 2006
242006
Can compact optimisation algorithms be structurally biased?
AV Kononova, F Caraffini, H Wang, T Bäck
International Conference on Parallel Problem Solving from Nature, 229-242, 2020
212020
Differential evolution with scale factor local search for large scale problems
A Caponio, AV Kononova, F Neri
Computational intelligence in expensive optimization problems, 297-323, 2010
202010
Modular differential evolution
D Vermetten, F Caraffini, AV Kononova, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 864-872, 2023
192023
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond
AV Kononova, D Vermetten, F Caraffini, MA Mitran, D Zaharie
Evolutionary Computation, 1-46, 2023
192023
Can single solution optimisation methods be structurally biased?
AV Kononova, F Caraffini, H Wang, T Bäck
2020 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2020
18*2020
Emergence of Structural Bias in Differential Evolution
B van Stein, F Caraffini, AV Kononova
The Genetic and Evolutionary Computation Conference (GECCO 2021), 1234-1242, 2021
17*2021
Improved automated cash optimization with tree parzen estimators for class imbalance problems
DA Nguyen, J Kong, H Wang, S Menzel, B Sendhoff, AV Kononova, ...
2021 IEEE 8th international conference on data science and advanced …, 2021
15*2021
Disentangling causality: assumptions in causal discovery and inference
MC Vonk, N Malekovic, T Bäck, AV Kononova
Artificial Intelligence Review 56 (9), 10613-10649, 2023
142023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20