A New Approach to Designing Interpretable Models of Dynamic Systems. - Krystian Lapa; Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2013)

A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling. - Krystian Lapa; Marcin Zalasinski; Krzysztof Cpalka (ICAISC (1), 2013)

New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (ICAISC (2), 2013)

New Method for Design of Fuzzy Systems for Nonlinear Modelling Using Different Criteria of Interpretability. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2014)

Aspects of the Selection of the Structure and Parameters of Controllers Using Selected Population Based Algorithms. - Jacek Szczypta; Krystian Lapa; Zhifei Shao (ICAISC (1), 2014)

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl; Marcin Zalasinski (Neurocomputing, 2014)

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification. - Krystian Lapa; Krzysztof Cpalka; Alexander I. Galushkin (ICAISC (1), 2015)

Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms. - Krystian Lapa; Jacek Szczypta; Rajasekar Venkatesan (ICAISC, 2015)

On the Application of a Hybrid Genetic-Firework Algorithm for Controllers Structure and Parameters Selection. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2015)

Nonlinear Pattern Classification Using Fuzzy System and Hybrid Genetic-Imperialist Algorithm. - Krystian Lapa; Krzysztof Cpalka (ISAT (4), 2015)

Aspects of Structure Selection and Parameters Tuning of Control Systems Using Hybrid Genetic-Fruit Fly Algorithm. - Jacek Szczypta; Krystian Lapa (ISAT (1), 2015)

A new approach to design of control systems using genetic programming. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2015)

A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming. - Lukasz Bartczuk; Krystian Lapa; Petia D. Koprinkova-Hristova (ICAISC (2), 2016)

New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2016)

New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. - Krystian Lapa; Krzysztof Cpalka; Petia D. Koprinkova-Hristova (ICAISC (1), 2016)

New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2016)

Aspects of Evolutionary Construction of New Flexible PID-fuzzy Controller. - Krystian Lapa; Jacek Szczypta; Takamichi Saito (ICAISC (1), 2016)

The Method of the Evolutionary Designing the Elastic Controller Structure. - Andrzej Przybyl; Krystian Lapa; Jacek Szczypta; Lipo Wang (ICAISC (1), 2016)

A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling. - Krystian Lapa (ISAT (1), 2016)

Elastic FOPID+FIR Controller Design Using Hybrid Population-Based Algorithm. - Krystian Lapa (ISAT (2), 2016)

Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2016)

Hybrid Initialization in the Process of Evolutionary Learning. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Takamichi Saito (ICAISC (2), 2017)

A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators. - Krystian Lapa; Krzysztof Cpalka; Lipo Wang (ICAISC (1), 2017)

A Method for Changes Prediction of the Dynamic Signature Global Features over Time. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Takamichi Saito (ICAISC (1), 2017)

Population-Based Algorithm with Selectable Evolutionary Operators for Nonlinear Modeling. - Krystian Lapa (ISAT (1), 2017)

PID-Fuzzy Controllers with Dynamic Structure and Evolutionary Method for Their Construction. - Krystian Lapa; Krzysztof Cpalka (ISAT (1), 2017)

Evolutionary Approach for Automatic Design of PID Controllers. - Krystian Lapa; Krzysztof Cpalka (Advances in Data Analysis with Computational Intelligence Methods, 2018)

New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling. - Krystian Lapa; Krzysztof Cpalka; Leszek Rutkowski (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Obtaining Pareto Front in Instance Selection with Ensembles and Populations. - Miroslaw Kordos; Marcin Wydrzynski; Krystian Lapa (ICAISC (1), 2018)

Negative Space-Based Population Initialization Algorithm (NSPIA). - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Konrad Grzanek (ICAISC (1), 2018)

Multi-Objective Evolutionary Instance Selection for Regression Tasks. - Miroslaw Kordos; Krystian Lapa (Entropy, 2018)

Prediction of values of the dynamic signature features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (Expert Syst. Appl., 2018)

Genetic Programming Algorithm for Designing of Control Systems. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2018)

Flexible Fuzzy PID Controller (FFPIDC) and a Nature-Inspired Method for Its Construction. - Krystian Lapa; Krzysztof Cpalka (IEEE Trans. Ind. Informatics, 2018)

Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection. - Krystian Lapa; Krzysztof Cpalka; Józef Paszkowski (ICAISC (1), 2019)

On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques. - Tomasz Rutkowski; Krystian Lapa; Robert Nowicki; Radoslaw Nielek; Konrad Grzanek (ICAISC (1), 2019)

The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Alina Marchlewska (ICAISC (1), 2019)

On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion. - Tomasz Rutkowski; Krystian Lapa; Maciej Jaworski; Radoslaw Nielek; Danuta Rutkowska (ICONIP (4), 2019)

Algorithm Based on Population With a Flexible Search Mechanism. - Krystian Lapa; Krzysztof Cpalka; Marcin Zalasinski (IEEE Access, 2019)

On Explainable Fuzzy Recommenders and their Performance Evaluation. - Tomasz Rutkowski; Krystian Lapa; Radoslaw Nielek (Int. J. Appl. Math. Comput. Sci., 2019)

Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics. - Krystian Lapa (Inf. Sci., 2019)

An interpretable fuzzy system in the on-line signature scalable verification. - Marcin Zalasinski; Krzysztof Cpalka; Krystian Lapa (FUZZ-IEEE, 2020)

Cascade PID Controller Optimization Using Bison Algorithm. - Anezka Kazikova; Krystian Lapa; Michal Pluhacek; Roman Senkerik (ICAISC (1), 2020)

A Population-Based Method with Selection of a Search Operator. - Krystian Lapa; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz; Lipo Wang (ICAISC (1), 2020)

Evolutionary Algorithm with a Configurable Search Mechanism. - Krystian Lapa; Krzysztof Cpalka; Lukasz Laskowski; Andrzej Cader; Zhigang Zeng (J. Artif. Intell. Soft Comput. Res., 2020)

On-Line Signature Partitioning Using a Population Based Algorithm. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Krzysztof Przybyszewski; Gary G. Yen (J. Artif. Intell. Soft Comput. Res., 2020)

Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. - Adam Slowik; Krzysztof Cpalka; Krystian Lapa (IEEE Trans. Fuzzy Syst., 2020)

Intelligent Approach to the Prediction of Changes in Biometric Attributes. - Marcin Zalasinski; Krystian Lapa; Magdalena Laskowska (IEEE Trans. Fuzzy Syst., 2020)

Population Management Approaches in the OPn Algorithm. - Krystian Lapa; Krzysztof Cpalka; Adam Slowik (ICAISC (1), 2021)

A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation. - Krzysztof Cpalka; Krystian Lapa; Leszek Rutkowski (ICAISC (1), 2022)

A population-based algorithm with the selection of evaluation precision and size of the population. - Krzysztof Cpalka; Adam Slowik; Krystian Lapa (Appl. Soft Comput., 2022)

Multi-Population-Based Algorithm with an Exchange of Training Plans Based on Population Evaluation. - Krystian Lapa; Krzysztof Cpalka; Marek Kisiel-Dorohinicki; Józef Paszkowski; Maciej Debski; Van-Hung Le 002 (J. Artif. Intell. Soft Comput. Res., 2022)

Multi-population-based Algorithms with Different Migration Topologies and Their Improvement by Population Re-initialization. - Krystian Lapa (ICAISC (1), 2023)

A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms. - Krystian Lapa; Danuta Rutkowska; Aleksander Byrski; Christian Napoli 001 (J. Artif. Intell. Soft Comput. Res., 2023)

Increasing the explainability and trustiness of Wang-Mendel fuzzy system for classification problems. - Krystian Lapa (Appl. Soft Comput., 2024)