The Dynamics of Computing Agent Systems. - Maciej Smolka; Piotr Uhruski; Robert Schaefer; Marek Grochowski (International Conference on Computational Science (3), 2005)

Optimal scheduling problem for computing agent systems. - Maciej Smolka (Inteligencia Artif., 2005)

Computing MAS Dynamics Considering the Background Load. - Maciej Smolka; Robert Schaefer (International Conference on Computational Science (3), 2006)

Architectural Principles and Scheduling Strategies for Computing Agent Systems. - Marek Grochowski; Robert Schaefer; Maciej Smolka (Fundam. Informaticae, 2006)

A Formal Model of Multi-agent Computations. - Maciej Smolka (PPAM, 2007)

Task Hibernation in a Formal Model of Agent-Oriented Computing Systems. - Maciej Smolka (ICCS (3), 2008)

A Framework for Observing Dynamics of Agent-Based Computations. - Jaroslaw Kawecki; Maciej Smolka (PPAM (2), 2009)

Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Parallel Execution of Local Actions. - Robert Schaefer; Aleksander Byrski; Maciej Smolka (Fundam. Informaticae, 2009)

Asymptotic Analysis of Computational Multi-Agent Systems. - Aleksander Byrski; Robert Schaefer; Maciej Smolka; Carlos Cotta (PPSN (1), 2010)

Evolutionary Multiobjective Optimization Algorithm as a Markov System. - Ewa Gajda; Robert Schaefer; Maciej Smolka (PPSN (1), 2010)

Asymptotic Features Of Parallel Agent-Based Immunological System. - Aleksander Byrski; Robert Schaefer; Maciej Smolka (ECMS, 2011)

The island model as a Markov dynamic system. - Robert Schaefer; Aleksander Byrski; Maciej Smolka (Int. J. Appl. Math. Comput. Sci., 2012)

An agent-based model of hierarchic genetic search. - Robert Schaefer; Aleksander Byrski; Joanna Kolodziej; Maciej Smolka (Comput. Math. Appl., 2012)

Markov Chain Based Analysis of Agent-Based Immunological System. - Aleksander Byrski; Robert Schaefer; Maciej Smolka (Trans. Comput. Collect. Intell., 2013)

A Memetic Framework for Solving Difficult Inverse Problems. - Maciej Smolka; Robert Schaefer (EvoApplications, 2014)

A hybrid algorithm for solving inverse problems in elasticity. - Barbara Barabasz; Ewa Gajda-Zagórska; Stanislaw Migórski; Maciej Paszynski; Robert Schaefer; Maciej Smolka (Int. J. Appl. Math. Comput. Sci., 2014)

Hierarchic Genetic Search with alpha -Stable Mutation. - Adam K. Obuchowicz; Maciej Smolka; Robert Schaefer (EvoApplications, 2015)

Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems. - Ewa Gajda-Zagórska; Maciej Smolka; Robert Schaefer; David Pardo; Julen Álvarez-Aramberri (ICCS, 2015)

A New time Integration Scheme for Cahn-hilliard Equations. - Robert Schaefer; Maciej Smolka; Lisandro Dalcín; Maciej Paszynski (ICCS, 2015)

An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. - Maciej Smolka; Robert Schaefer; Maciej Paszynski; David Pardo; Julen Álvarez-Aramberri (Int. J. Appl. Math. Comput. Sci., 2015)

A hybrid method for inversion of 3D AC resistivity logging measurements. - Maciej Smolka; Ewa Gajda-Zagórska; Robert Schaefer; Maciej Paszynski; David Pardo (Appl. Soft Comput., 2015)

A hybrid method for inversion of 3D DC resistivity logging measurements. - Ewa Gajda-Zagórska; Robert Schaefer; Maciej Smolka; Maciej Paszynski; David Pardo (Nat. Comput., 2015)

Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems. - Piotr Faliszewski; Jakub Sawicki; Robert Schaefer; Maciej Smolka (EvoApplications (1), 2016)

Scalability of Direct Solver for Non-stationary Cahn-hilliard Simulations with Linearized Time Integration Scheme. - Maciej Wozniak; Maciej Smolka; Adriano M. A. Côrtes; Maciej Paszynski; Robert Schaefer (ICCS, 2016)

On the Computational Cost and Complexity of Stochastic Inverse Solvers. - Piotr Faliszewski; Maciej Smolka; Robert Schaefer; Maciej Paszynski (Comput. Sci., 2016)

Application of α-stable mutation in a hierarchic evolutionary inverse solver. - Adam K. Obuchowicz; Maciej Smolka (J. Comput. Sci., 2016)

Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems. - Marcin Los; Robert Schaefer; Jakub Sawicki; Maciej Smolka (EvoApplications (1), 2017)

Two-Phase Strategy Managing Insensitivity in Global Optimization. - Jakub Sawicki; Maciej Smolka; Marcin Los; Robert Schaefer; Piotr Faliszewski (EvoApplications (1), 2017)

Memetic approach for irremediable ill-conditioned parametric inverse problems*. - Marcin Los; Jakub Sawicki; Maciej Smolka; Robert Schaefer (ICCS, 2017)

Differentiability of the objective in a class of coefficient inverse problems. - Maciej Smolka (Comput. Math. Appl., 2017)

Multiwinner Voting in Genetic Algorithms. - Piotr Faliszewski; Jakub Sawicki; Robert Schaefer; Maciej Smolka (IEEE Intell. Syst., 2017)

A multi-objective memetic inverse solver reinforced by local optimization methods. - Ewa Gajda-Zagórska; Robert Schaefer; Maciej Smolka; David Pardo; Julen Álvarez-Aramberri (J. Comput. Sci., 2017)

Misfit landforms imposed by ill-conditioned inverse parametric problems. - Marcin Los; Maciej Smolka; Robert Schaefer; Jakub Sawicki (Comput. Sci., 2018)

Approximating landscape insensitivity regions in solving ill-conditioned inverse problems. - Jakub Sawicki; Marcin Los; Maciej Smolka; Robert Schaefer; Julen Álvarez-Aramberri (Memetic Comput., 2018)

Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy. - Jakub Sawicki; Maciej Smolka; Marcin Los; Robert Schaefer (CoRR, 2019)

Using Covariance Matrix Adaptation Evolutionary Strategy to boost the search accuracy in hierarchic memetic computations. - Jakub Sawicki; Marcin Los; Maciej Smolka; Julen Álvarez-Aramberri (J. Comput. Sci., 2019)

Effective Solution of Ill-Posed Inverse Problems with Stabilized Forward Solver. - Marcin Los; Robert Schaefer; Maciej Smolka (ICCS (2), 2021)

A Three-Level Linearized Time Integration Scheme for Tumor Simulations with Cahn-Hilliard Equations. - Maciej Smolka; Maciej Wozniak; Robert Schaefer (ICCS (6), 2021)

Current Trends in Software Engineering Bachelor Theses. - Jacek Dajda; Michal Idzik; Jakub Sroka; Mikolaj Sikora; Wiktor Pawlowski; Maciej Smolka; Przemyslaw Jablecki; Filip Slazyk; Maciej Malawski; Emilia Majerz; Aleksandra Pasternak; Witold Dzwinel; et al. (Comput. Informatics, 2021)

Application of the Hierarchic Memetic Strategy HMS in Neuroevolution. - Mateusz Sokól; Maciej Smolka (ICCS (1), 2022)

Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border. - Hubert Guzowski; Maciej Smolka; Aleksander Byrski; Libor Pekar; Zuzana Komínková Oplatková; Roman Senkerik; Radek Matusu; Frantisek Gazdos (IS, 2022)

Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics. - Piotr Kipinski; Hubert Guzowski; Aleksandra Urbanczyk; Maciej Smolka; Marek Kisiel-Dorohinicki; Aleksander Byrski; Zuzana Komínková Oplatková; Roman Senkerik; Libor Pekar; Radek Matusu; Frantisek Gazdos (IS, 2022)

Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics. - Mateusz Nabywaniec; Hubert Guzowski; Aleksandra Urbanczyk; Maciej Smolka; Marek Kisiel-Dorohinicki; Aleksander Byrski; Zuzana Komínková Oplatková; Roman Senkerik; Libor Pekar; Radek Matusu; Frantisek Gazdos (IS, 2022)

How to lighten parametric inverse computations if the misfit is non-convex and the forward solver needs stabilization. - Marcin Los; Robert Schaefer; Maciej Smolka (J. Comput. Sci., 2022)

Understanding measure-driven algorithms solving irreversibly ill-conditioned problems. - Jakub Sawicki; Marcin Los; Maciej Smolka; Robert Schaefer (Nat. Comput., 2022)

Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis. - Hubert Guzowski; Maciej Smolka (GECCO Companion, 2023)

Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization. - Roman Senkerik; Tomas Kadavy; Peter Janku; Michal Pluhacek; Hubert Guzowski; Libor Pekar; Radek Matusu; Adam Viktorin; Maciej Smolka; Aleksander Byrski; Zuzana Komínková Oplatková (GECCO Companion, 2023)

An Application of Evolutionary Algorithms and Machine Learning in Four-Part Harmonization. - Mikolaj Sikora; Maciej Smolka (ICCS (1), 2023)

Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics. - Roman Senkerik; Aleksander Byrski; Hubert Guzowski; Peter Janku; Tomas Kadavy; Zuzana Komínková Oplatková; Radek Matusu; Michal Pluhacek; Libor Pekar; Maciej Smolka; Adam Viktorin (SMC, 2023)

Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering. - Hubert Guzowski; Maciej Smolka; Libor Pekar (ICCS (3), 2024)

Open and Closed Source Models for LLM-Generated Metaheuristics Solving Engineering Optimization Problem. - Roman Senkerik; Adam Viktorin; Tomas Kadavy; Jozef Kovác; Peter Janku; Libor Pekar; Hubert Guzowski; Maciej Smolka; Aleksander Byrski; Michal Pluhacek (EvoApplications (2), 2025)

Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution. - Wojciech Achtelik; Maciej Smolka (ICCS (Workshops 2), 2025)

Metaheuristic-Based Model Optimization of a Steam-Filled Chamber. - Hubert Guzowski; Roman Senkerik; Maciej Smolka; Frantisek Gazdos; Miroslav Pálka; Libor Pekar; Michal Pluhacek; Adam Viktorin; Tomas Kadavy; Aleksander Byrski; Zuzana Komínková Oplatková; Radek Matusu; et al. (IEEE Access, 2025)