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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
Structural bias in population-based algorithms
AV Kononova, DW Corne, P De Wilde, V Shneer, F Caraffini
Information Sciences 298, 468-490, 2015
622015
Infeasibility and structural bias in differential evolution
F Caraffini, AV Kononova, D Corne
Information Sciences 496, 161-179, 2019
602019
Structural bias in differential evolution: A preliminary study
F Caraffini, AV Kononova
AIP Conference Proceedings 2070 (1), 020005, 2019
252019
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
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
232008
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
232007
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
Differential evolution outside the box
AV Kononova, F Caraffini, T Bäck
Information Sciences 581, 587-604, 2021
112021
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
102020
Multiagent deep reinforcement learning: Challenges and directions towards human-like approaches
A Wong, T Bäck, AV Kononova, A Plaat
arXiv preprint arXiv:2106.15691, 2021
92021
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
92020
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
62021
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
62021
Engineering fitness inheritance and co-operative evolution into state-of-the-art optimizers
A Hameed, A Kononova, D Corne
2015 IEEE Symposium Series on Computational Intelligence, 1695-1702, 2015
62015
Analysis of structural bias in differential evolution configurations
D Vermetten, B Stein, AV Kononova, F Caraffini
Differential Evolution: From Theory to Practice, 1-22, 2022
32022
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
32021
Quantifying the impact of boundary constraint handling methods on differential evolution
R Boks, AV Kononova, H Wang
The Genetic and Evolutionary Computation Conference (GECCO 2021), 1199-1207, 2021
32021
A hierarchical evolutionary algorithm with noisy fitness in structural optimization problems
F Neri, AV Kononova, G Delvecchio, MS Labini, AV Uglanov
Workshops on Applications of Evolutionary Computation, 610-616, 2005
32005
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, 2022
22022
Emergence of Structural Bias in Differential Evolution-Source code & extended graphical results
B van Stein, F Caraffini, AV Kononova
Google Scholar Google Scholar Cross Ref Cross Ref, 2021
22021
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