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Journal Articles
- 2022
[j21]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)- [j20]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
- [j19]Jacek Dajda, Michal Idzik, Jakub Sroka, Mikolaj Sikora, Wiktor Pawlowski, Maciej Smolka, Przemyslaw Jablecki, Filip Slazyk, Maciej Malawski, Emilia Majerz, Aleksandra Pasternak, Witold Dzwinel, Wojciech Kania, Bogumila Hnatkowska, Wojciech Thomas, Joanna Swiebocka-Wiek, Andrzej Paszkiewicz:
Current Trends in Software Engineering Bachelor Theses. Comput. Informatics 40(4) (2021) - 2019
- [j18]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) - 2018
- [j17]Marcin Los, Maciej Smolka, Robert Schaefer, Jakub Sawicki:
Misfit landforms imposed by ill-conditioned inverse parametric problems. Comput. Sci. 19(2): 157-178 (2018) - [j16]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
- [j15]Maciej Smolka:
Differentiability of the objective in a class of coefficient inverse problems. Comput. Math. Appl. 73(11): 2375-2387 (2017) - [j14]Piotr Faliszewski, Jakub Sawicki, Robert Schaefer, Maciej Smolka:
Multiwinner Voting in Genetic Algorithms. IEEE Intell. Syst. 32(1): 40-48 (2017) - [j13]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) - 2016
- [j12]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) - [j11]Adam K. Obuchowicz, Maciej Smolka:
Application of α-stable mutation in a hierarchic evolutionary inverse solver. J. Comput. Sci. 17: 261-269 (2016) - 2015
- [j10]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) - [j9]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) - [j8]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) - 2014
- [j7]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) - 2013
- [j6]Aleksander Byrski, Robert Schaefer, Maciej Smolka:
Markov Chain Based Analysis of Agent-Based Immunological System. Trans. Comput. Collect. Intell. 10: 1-15 (2013) - 2012
- [j5]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) - [j4]Robert Schaefer, Aleksander Byrski, Joanna Kolodziej, Maciej Smolka:
An agent-based model of hierarchic genetic search. Comput. Math. Appl. 64(12): 3763-3776 (2012) - 2009
- [j3]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
- [j2]Marek Grochowski, Robert Schaefer, Maciej Smolka:
Architectural Principles and Scheduling Strategies for Computing Agent Systems. Fundam. Informaticae 71(1): 15-26 (2006) - 2005
- [j1]Maciej Smolka:
Optimal scheduling problem for computing agent systems. Inteligencia Artif. 9(28): 101-106 (2005)
Conference and Workshop Papers
- 2024
- [c28]Hubert Guzowski, Maciej Smolka, Libor Pekar:
Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering. ICCS (3) 2024: 423-437 - 2023
- [c27]Hubert Guzowski, Maciej Smolka:
Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis. GECCO Companion 2023: 1785-1792 - [c26]Roman Senkerik, Tomas Kadavy, Peter Janku, Michal Pluhacek, Hubert Guzowski, Libor Pekar, Radek Matusu, Adam Viktorin, Maciej Smolka, Aleksander Byrski, Zuzana Komínková Oplatková:
Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. GECCO Companion 2023: 1821-1829 - [c25]Mikolaj Sikora, Maciej Smolka:
An Application of Evolutionary Algorithms and Machine Learning in Four-Part Harmonization. ICCS (1) 2023: 221-236 - [c24]Roman Senkerik, Aleksander Byrski, Hubert Guzowski, Peter Janku, Tomas Kadavy, Zuzana Komínková Oplatková, Radek Matusu, Michal Pluhacek, Libor Pekar, Maciej Smolka, Adam Viktorin:
Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics. SMC 2023: 1084-1089 - 2022
- [c23]Mateusz Sokól, Maciej Smolka:
Application of the Hierarchic Memetic Strategy HMS in Neuroevolution. ICCS (1) 2022: 422-429 - [c22]Hubert Guzowski, Maciej Smolka, Aleksander Byrski, Libor Pekar, Zuzana Komínková Oplatková, Roman Senkerik, Radek Matusu, Frantisek Gazdos:
Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border. IS 2022: 1-6 - [c21]Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. IS 2022: 1-7 - [c20]Mateusz Nabywaniec, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. IS 2022: 1-7 - 2021
- [c19]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 - [c18]Marcin Los, Robert Schaefer, Maciej Smolka:
Effective Solution of Ill-Posed Inverse Problems with Stabilized Forward Solver. ICCS (2) 2021: 343-357 - 2017
- [c17]Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer, Piotr Faliszewski:
Two-Phase Strategy Managing Insensitivity in Global Optimization. EvoApplications (1) 2017: 266-281 - [c16]Marcin Los, Robert Schaefer, Jakub Sawicki, Maciej Smolka:
Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems. EvoApplications (1) 2017: 297-309 - [c15]Marcin Los, Jakub Sawicki, Maciej Smolka, Robert Schaefer:
Memetic approach for irremediable ill-conditioned parametric inverse problems*. ICCS 2017: 867-876 - 2016
- [c14]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 - [c13]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
- [c12]Adam K. Obuchowicz, Maciej Smolka, Robert Schaefer:
Hierarchic Genetic Search with \alpha -Stable Mutation. EvoApplications 2015: 143-154 - [c11]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 - [c10]Robert Schaefer, Maciej Smolka, Lisandro Dalcín, Maciej Paszynski:
A New time Integration Scheme for Cahn-hilliard Equations. ICCS 2015: 1003-1012 - 2014
- [c9]Maciej Smolka, Robert Schaefer:
A Memetic Framework for Solving Difficult Inverse Problems. EvoApplications 2014: 138-149 - 2011
- [c8]Aleksander Byrski, Robert Schaefer, Maciej Smolka:
Asymptotic Features Of Parallel Agent-Based Immunological System. ECMS 2011: 518-524 - 2010
- [c7]Aleksander Byrski, Robert Schaefer, Maciej Smolka, Carlos Cotta:
Asymptotic Analysis of Computational Multi-Agent Systems. PPSN (1) 2010: 475-484 - [c6]Ewa Gajda, Robert Schaefer, Maciej Smolka:
Evolutionary Multiobjective Optimization Algorithm as a Markov System. PPSN (1) 2010: 617-626 - 2009
- [c5]Jaroslaw Kawecki, Maciej Smolka:
A Framework for Observing Dynamics of Agent-Based Computations. PPAM (2) 2009: 250-259 - 2008
- [c4]Maciej Smolka:
Task Hibernation in a Formal Model of Agent-Oriented Computing Systems. ICCS (3) 2008: 535-544 - 2007
- [c3]Maciej Smolka:
A Formal Model of Multi-agent Computations. PPAM 2007: 351-360 - 2006
- [c2]Maciej Smolka, Robert Schaefer:
Computing MAS Dynamics Considering the Background Load. International Conference on Computational Science (3) 2006: 799-806 - 2005
- [c1]Maciej Smolka, Piotr Uhruski, Robert Schaefer, Marek Grochowski:
The Dynamics of Computing Agent Systems. International Conference on Computational Science (3) 2005: 727-734
Informal and Other Publications
- 2022
- [i2]Piotr Kipinski, Hubert Guzowski, Aleksandra Urbanczyk, Maciej Smolka, Marek Kisiel-Dorohinicki, Aleksander Byrski, Zuzana Komínková Oplatková, Roman Senkerik, Libor Pekar, Radek Matusu, Frantisek Gazdos:
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. CoRR abs/2210.12872 (2022) - 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)
Coauthor Index
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