| Filipiak, P., Michalak, K., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics, [in] Proceedings of Genetic and Evolutionary Computation Conference, GECCO, ACM, 2015 (to appear). |
| Lancucki, A., Saha, I., Lipinski, P., A New Evolutionary Gene Selection Technique, [in] Proceedings of IEEE Congress of Evolutionary Computation, 2015, pp. 1612-1619. |
| Filipiak, P., Lipinski, P., Making IDEA-ARIMA Efficient in Dynamic Constrained Optimization Problems, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 9028, Springer, 2015, pp. 882-893. |
| Lipinski, P., Training Financial Decision Support Systems with Thousands of Decision Rules Using Differential Evolution with Embedded Dimensionality Reduction, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 9028, Springer, 2015, pp. 289-301. |
| Chorowski, J., Zurada, J., M., Learning Understandable Neural Networks With Nonnegative Weight Constraints, [in] IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 1, 2015, pp. 62,69. |
| Chorowski, J., Wang, J., Zurada, J.M., Review and performance comparison of SVM- and ELM-based classifiers, [in] Neurocomputing, vol. 128, 2014, pp. 507–516. |
| Dey, S., Saha, I., Maulik, U., Bhattacharyya, S., Multi-level Thresholding using Quantum Inspired Meta-heuristics, [in] Knowledge-Based Systems, vol. 67, 2014, pp. 373-400. |
| Lancucki, A., Chorowski, J., Michalak, K., Filipiak, P., Lipinski, P., Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 457-464. |
| Filipiak, P., Lipinski, P., Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 404-411. |
| Michalak, K., Filipiak, P., Lipinski, P., Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 199-206. |
| Lipinski, P., Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction, [in] Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 8480, 2014, Springer, pp. 342-353. |
| Filipiak, P., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with Feed-Forward Prediction Strategy for Dynamic Constrained Optimization Problems, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 817-828. |
| Lipinski, P., Brabazon, A., Pattern Mining in Ultra-High Frequency Order Books with Self-Organizing Maps, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 288-298. |
| Lipinski, P., Training Complex Decision Support Systems with Differential Evolution Enhanced by Locally Linear Embedding, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 125-137. |
| Brzychczy, E., Lipinski, P., Zimroz, R., Filipiak, P., Artificial Immune Systems for Data Classification in Planetary Gearboxes Condition Monitoring, [in] Advances in Condition Monitoring of Machinery in Non-Stationary Operations, Lecture Notes in Mechanical Engineering, Springer, 2014, pp. 235-247. |
| Michalak, K., Filipiak, P., Lipinski, P., Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 7835, Springer, 2013, pp. 234-243. |
| Filipiak, P., Lipinski, P., Parallel CHC Algorithm for Solving Dynamic Traveling Salesman Problem Using Many-Core GPU, [in] Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, vol. 7557, Springer, 2012, pp. 305-314. |
| Michalak, K., Filipiak, P., Lipinski, P., Evolutionary Approach to Multiobjective Optimization of Portfolios That Reflect the Behaviour of Investment Funds, [in] Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, vol. 7557, Springer, 2012, pp. 202-211. |
| Filipiak, P., Michalak, K., Lipinski, P., A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems, [in] Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 7208, Springer, 2012, pp. 610-621. |
| Filipiak, P., Michalak, K., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with ARIMA based Prediction Mechanism, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 6936, Springer, 2011, pp. 345-352. |
