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ORCIDRobert Schaefer
- > Home > Persons > Robert Schaefer
Publications
- 2022
[j74]Marcin Los
, Robert Schaefer, Maciej Smolka:
How to lighten parametric inverse computations if the misfit is non-convex and the forward solver needs stabilization. J. Comput. Sci. 64: 101872 (2022)- [j73]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
- [c38]Maciej Smolka, Maciej Wozniak, Robert Schaefer:
A Three-Level Linearized Time Integration Scheme for Tumor Simulations with Cahn-Hilliard Equations. ICCS (6) 2021: 173-185 - [c37]Marcin Los, Robert Schaefer, Maciej Smolka:
Effective Solution of Ill-Posed Inverse Problems with Stabilized Forward Solver. ICCS (2) 2021: 343-357 - 2019
- [i2]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
- [j68]Marcin Los, Maciej Smolka, Robert Schaefer, Jakub Sawicki:
Misfit landforms imposed by ill-conditioned inverse parametric problems. Comput. Sci. 19(2): 157-178 (2018) - [j66]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
- [j65]Piotr Faliszewski, Jakub Sawicki, Robert Schaefer, Maciej Smolka:
Multiwinner Voting in Genetic Algorithms. IEEE Intell. Syst. 32(1): 40-48 (2017) - [j64]Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, David Pardo, Julen Álvarez-Aramberri:
A multi-objective memetic inverse solver reinforced by local optimization methods. J. Comput. Sci. 18: 85-94 (2017) - [c36]Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer, Piotr Faliszewski:
Two-Phase Strategy Managing Insensitivity in Global Optimization. EvoApplications (1) 2017: 266-281 - [c35]Marcin Los, Robert Schaefer, Jakub Sawicki, Maciej Smolka:
Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems. EvoApplications (1) 2017: 297-309 - [c33]Marcin Los, Jakub Sawicki, Maciej Smolka, Robert Schaefer:
Memetic approach for irremediable ill-conditioned parametric inverse problems*. ICCS 2017: 867-876 - 2016
- [j61]Piotr Faliszewski, Maciej Smolka, Robert Schaefer, Maciej Paszynski:
On the Computational Cost and Complexity of Stochastic Inverse Solvers. Comput. Sci. 17(2): 225-264 (2016) - [c32]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 - [c31]Maciej Wozniak, Maciej Smolka, Adriano M. A. Côrtes, Maciej Paszynski, Robert Schaefer:
Scalability of Direct Solver for Non-stationary Cahn-hilliard Simulations with Linearized Time Integration Scheme. ICCS 2016: 834-844 - 2015
- [j56]Maciej Smolka, Robert Schaefer, Maciej Paszynski, David Pardo, Julen Álvarez-Aramberri:
An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. Int. J. Appl. Math. Comput. Sci. 25(3): 483-498 (2015) - [j55]Maciej Smolka, Ewa Gajda-Zagórska, Robert Schaefer, Maciej Paszynski, David Pardo:
A hybrid method for inversion of 3D AC resistivity logging measurements. Appl. Soft Comput. 36: 442-456 (2015) - [j53]Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, Maciej Paszynski, David Pardo:
A hybrid method for inversion of 3D DC resistivity logging measurements. Nat. Comput. 14(3): 355-374 (2015) - [c30]Adam K. Obuchowicz, Maciej Smolka, Robert Schaefer:
Hierarchic Genetic Search with \alpha -Stable Mutation. EvoApplications 2015: 143-154 - [c29]Ewa Gajda-Zagórska, Maciej Smolka, Robert Schaefer, David Pardo, Julen Álvarez-Aramberri:
Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems. ICCS 2015: 974-983 - [c28]Robert Schaefer, Maciej Smolka, Lisandro Dalcín, Maciej Paszynski:
A New time Integration Scheme for Cahn-hilliard Equations. ICCS 2015: 1003-1012 - 2014
- [j50]Barbara Barabasz, Ewa Gajda-Zagórska, Stanislaw Migórski, Maciej Paszynski, Robert Schaefer, Maciej Smolka:
A hybrid algorithm for solving inverse problems in elasticity. Int. J. Appl. Math. Comput. Sci. 24(4): 865-886 (2014) - [c27]Maciej Smolka, Robert Schaefer:
A Memetic Framework for Solving Difficult Inverse Problems. EvoApplications 2014: 138-149 - 2013
- [j37]Aleksander Byrski, Robert Schaefer, Maciej Smolka:
Markov Chain Based Analysis of Agent-Based Immunological System. Trans. Comput. Collect. Intell. 10: 1-15 (2013) - 2012
- [j36]Robert Schaefer, Aleksander Byrski, Maciej Smolka:
The island model as a Markov dynamic system. Int. J. Appl. Math. Comput. Sci. 22(4): 971-984 (2012) - [j35]Robert Schaefer, Aleksander Byrski, Joanna Kolodziej, Maciej Smolka:
An agent-based model of hierarchic genetic search. Comput. Math. Appl. 64(12): 3763-3776 (2012) - 2011
- [c24]Aleksander Byrski, Robert Schaefer, Maciej Smolka:
Asymptotic Features Of Parallel Agent-Based Immunological System. ECMS 2011: 518-524 - 2010
- [c23]Aleksander Byrski, Robert Schaefer, Maciej Smolka, Carlos Cotta:
Asymptotic Analysis of Computational Multi-Agent Systems. PPSN (1) 2010: 475-484 - [c22]Ewa Gajda, Robert Schaefer, Maciej Smolka:
Evolutionary Multiobjective Optimization Algorithm as a Markov System. PPSN (1) 2010: 617-626 - 2009
- [j22]Robert Schaefer, Aleksander Byrski, Maciej Smolka:
Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Parallel Execution of Local Actions. Fundam. Informaticae 95(2-3): 325-348 (2009) - 2006
- [j12]Marek Grochowski, Robert Schaefer, Maciej Smolka:
Architectural Principles and Scheduling Strategies for Computing Agent Systems. Fundam. Informaticae 71(1): 15-26 (2006) - [c12]Maciej Smolka, Robert Schaefer:
Computing MAS Dynamics Considering the Background Load. International Conference on Computational Science (3) 2006: 799-806 - 2005
- [c11]Maciej Smolka, Piotr Uhruski, Robert Schaefer, Marek Grochowski:
The Dynamics of Computing Agent Systems. International Conference on Computational Science (3) 2005: 727-734
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