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Anna V Kononova
Anna V Kononova
LIACS, Leiden University
Verified email at liacs.leidenuniv.nl
Title
Cited by
Cited by
Year
Deep multiagent reinforcement learning: Challenges and directions
A Wong, T Bäck, AV Kononova, A Plaat
Artificial Intelligence Review 56 (6), 5023-5056, 2023
105*2023
Infeasibility and structural bias in differential evolution
F Caraffini, AV Kononova, D Corne
Information Sciences 496, 161-179, 2019
992019
Structural bias in population-based algorithms
AV Kononova, DW Corne, P De Wilde, V Shneer, F Caraffini
Information Sciences 298, 468-490, 2015
822015
Differential evolution outside the box
AV Kononova, F Caraffini, T Bäck
Information Sciences 581, 587-604, 2021
332021
Structural bias in differential evolution: A preliminary study
F Caraffini, AV Kononova
AIP Conference Proceedings 2070 (1), 2019
312019
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
242008
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
242007
Prudent-daring vs tolerant survivor selection schemes in control design of electric drives
F Neri, GL Cascella, N Salvatore, AV Kononova, G Acciani
Applications of Evolutionary Computing: EvoWorkshops 2006: EvoBIO, EvoCOMNET …, 2006
242006
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
222022
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
202023
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
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
192020
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
152023
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
152023
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
15*2021
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
142020
Modular differential evolution
D Vermetten, F Caraffini, AV Kononova, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 864-872, 2023
132023
Analysis of structural bias in differential evolution configurations
D Vermetten, B van Stein, AV Kononova, F Caraffini
Differential evolution: From theory to practice, 1-22, 2022
132022
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
122023
Is there anisotropy in structural bias?
D Vermetten, AV Kononova, F Caraffini, H Wang, T Bäck
The Genetic and Evolutionary Computation Conference (GECCO 2021), 1243-1250, 2021
102021
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