Solution algorithms for the makespan minimization problem with the general learning model. - Adam Janiak; Wladyslaw A. Janiak; Radoslaw Rudek; Agnieszka Wielgus (Comput. Ind. Eng., 2009)

Parallel computation approach to solve total cost minimization scheduling problem. - Radoslaw Rudek; Agnieszka Rudek; Tomasz Czyz (MMAR, 2011)

An optimal sequence of tasks for autonomous learning systems. - Radoslaw Rudek; Agnieszka Rudek; Piotr Skworcow (MMAR, 2011)

A note on optimization in deteriorating systems using scheduling problems with the aging effect and resource allocation models. - Agnieszka Rudek; Radoslaw Rudek (Comput. Math. Appl., 2011)

An Impact of Model Parameter Uncertainty on Scheduling Algorithms. - Radoslaw Rudek; Agnieszka Rudek; Andrzej Kozik; Piotr Skworcow (ICEIS (1), 2012)

A flowshop scheduling problem with machine deterioration and maintenance activities. - Agnieszka Rudek; Radoslaw Rudek (MMAR, 2012)

On scheduling problems with the aging effect and maintenance cost. - Agnieszka Rudek (MMAR, 2013)

Optimization of task processing on parallel processors with learning abilities. - Radoslaw Rudek; Agnieszka Rudek; Andrzej Kozik; Piotr Skworcow (MMAR, 2013)

Makespan minimization flowshop with position dependent job processing times - computational complexity and solution algorithms. - Agnieszka Rudek; Radoslaw Rudek (Comput. Oper. Res., 2013)

The solution algorithms for the multiprocessor scheduling with workspan criterion. - Radoslaw Rudek; Agnieszka Rudek; Andrzej Kozik (Expert Syst. Appl., 2013)

Efficient Schur parametrization of near-stationary stochastic processes. - Agnieszka Wielgus; Jan Zarzycki (IWSSIP, 2017)

Fast Algorithms for the Schur- Type Nonlinear Parametrization of Higher-Order Stochastic Processes. - Agnieszka Wielgus; Jan Zarzycki (EUSIPCO, 2018)

Efficiency of the Multidimensional Schur-Type Estimation Algorithms for Higher-Order Stochastic Processes. - Agnieszka Wielgus; Wladyslaw Magiera; Piotr Smagowski (DSP, 2018)

Efficient measurement of higher-order statistics of stochastic processes. - Wladyslaw Magiera; Urszula Libal; Agnieszka Wielgus (Kybernetika, 2018)

A General Scheme of a Branch-and-Bound Approach for the Sensor Selection Problem in Near-Field Broadband Beamforming. - Agnieszka Wielgus; Boguslaw Szlachetko (Sensors, 2024)

Improved Quantum Genetic Algorithm with Mutation - Study on Algorithm Convergence. - Agnieszka Wielgus; Dawid Podgórski; Urszula Libal (EUROCON, 2025)