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Jakub Sawicki
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2020 – today
- 2022
- [j7]Jakub Sawicki, Marcin Los, Maciej Smolka, Robert Schaefer:
Understanding measure-driven algorithms solving irreversibly ill-conditioned problems. Nat. Comput. 21(2): 289-315 (2022) - 2021
- [j6]Jakub Sawicki, Eckehard Schöll:
Influence of Sound on Empirical Brain Networks. Frontiers Appl. Math. Stat. 7: 662221 (2021) - 2020
- [c6]Eckehard Schöll, Iryna Omelchenko, Jakub Sawicki:
Control of relay synchronization in multiplex networks by time delay. ECC 2020: 309-312 - [c5]Rico Berner, Jakub Sawicki, Eckehard Schöll:
Interplay of adaptivity and multiplexing in networks of adaptively coupled phase oscillators. ECC 2020: 317-324
2010 – 2019
- 2019
- [j5]Jakub Sawicki, Saptarshi Ghosh, Sarika Jalan, Anna Zakharova:
Chimeras in Multiplex Networks: Interplay of Inter- and Intra-Layer Delays. Frontiers Appl. Math. Stat. 5: 19 (2019) - [j4]Jakub Sawicki, Marcin Los, Maciej Smolka, Julen Álvarez-Aramberri:
Using Covariance Matrix Adaptation Evolutionary Strategy to boost the search accuracy in hierarchic memetic computations. J. Comput. Sci. 34: 48-54 (2019) - [i1]Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer:
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy. CoRR abs/1905.07288 (2019) - 2018
- [j3]Marcin Los, Maciej Smolka, Robert Schaefer, Jakub Sawicki:
Misfit landforms imposed by ill-conditioned inverse parametric problems. Comput. Sci. 19(2): 157-178 (2018) - [j2]Jakub Sawicki, Marcin Los, Maciej Smolka, Robert Schaefer, Julen Álvarez-Aramberri:
Approximating landscape insensitivity regions in solving ill-conditioned inverse problems. Memetic Comput. 10(3): 279-289 (2018) - 2017
- [j1]Piotr Faliszewski, Jakub Sawicki, Robert Schaefer, Maciej Smolka:
Multiwinner Voting in Genetic Algorithms. IEEE Intell. Syst. 32(1): 40-48 (2017) - [c4]Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer, Piotr Faliszewski:
Two-Phase Strategy Managing Insensitivity in Global Optimization. EvoApplications (1) 2017: 266-281 - [c3]Marcin Los, Robert Schaefer, Jakub Sawicki, Maciej Smolka:
Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems. EvoApplications (1) 2017: 297-309 - [c2]Marcin Los, Jakub Sawicki, Maciej Smolka, Robert Schaefer:
Memetic approach for irremediable ill-conditioned parametric inverse problems*. ICCS 2017: 867-876 - 2016
- [c1]Piotr Faliszewski, Jakub Sawicki, Robert Schaefer, Maciej Smolka:
Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems. EvoApplications (1) 2016: 409-424
Coauthor Index
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