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Contact:
Room: 520

Position:
Associate Professor

Classes:
Systemy wbudowane lab
Tworzenie aplikacji internetowych lab
Tworzenie aplikacji internetowych wyk
PhD DSc Eng Krystian Łapa

Papers (50)

2021 (1)

Population Management Approaches in the OPn Algorithm
Krystian Łapa and Krzysztof Cpałka and Adam Słowik, Population Management Approaches in the OPn Algorithm, Springer, Cham, 402-414, 2021, Cites: 0

2020 (5)

An interpretable fuzzy system in the on-line signature scalable verification
Marcin Zalasiński and Krzysztof Cpałka and Krystian Łapa, An interpretable fuzzy system in the on-line signature scalable verification, IEEE, 1-9, 2020, Cites: 0
A Population-Based Method with Selection of a Search Operator
Krystian Łapa and Krzysztof Cpałka and Tacjana Niksa-Rynkiewicz and Lipo Wang, A Population-Based Method with Selection of a Search Operator, Springer, Cham, 429-444, 2020, Cites: 0
Cascade PID Controller Optimization Using Bison Algorithm
Anezka Kazikova and Krystian Łapa and Michal Pluhacek and Roman Senkerik, Cascade PID Controller Optimization Using Bison Algorithm, Springer, Cham, 406-416, 2020, Cites: 0
On-line signature partitioning using a population based algorithm
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Krzysztof Przybyszewski and Gary G Yen, On-line signature partitioning using a population based algorithm, 2020, Cites: 9
Evolutionary algorithm with a configurable search mechanism
Krystian Łapa and Krzysztof Cpałka and Łukasz Laskowski and Andrzej Cader and Zhigang Zeng, Evolutionary algorithm with a configurable search mechanism, 2020, Cites: 5

2019 (9)

Algorithm Based on Population with a Flexible Search Mechanism
Krystian Łapa and Krzysztof Cpałka and Marcin Zalasiński, Algorithm Based on Population with a Flexible Search Mechanism, IEEE, 132253-132270, 2019, Cites: 2
Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics
Krystian Łapa, Meta-optimization of Multi-objective Population-based Algorithms using Multi-objective Performance Metrics, Elsevier, 193-204, 2019, Cites: 10
The method of predicting changes of a dynamic signature using possibilities of population-based algorithms
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Alina Marchlewska, The method of predicting changes of a dynamic signature using possibilities of population-based algorithms, Springer, Cham, 540-549, 2019, Cites: 3
On explainable fuzzy recommenders and their performance evaluation
Tomasz Rutkowski and Krystian Łapa and Radosław Nielek, On explainable fuzzy recommenders and their performance evaluation, 2019, Cites: 11
Intelligent Approach to the Prediction of Changes in Biometric Attributes
Marcin Zalasiński and Krystian Łapa and Magdalena Laskowska, Intelligent Approach to the Prediction of Changes in Biometric Attributes, IEEE, 1073-1083, 2019, Cites: 2
Hybrid multi-population based approach for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka and Józef Paszkowski, Hybrid multi-population based approach for controllers structure and parameters selection, Springer, Cham, 456-468, 2019, Cites: 4
On explainable recommender systems based on fuzzy rule generation techniques
Tomasz Rutkowski and Krystian Łapa and Robert Nowicki and Radosław Nielek and Konrad Grzanek, On explainable recommender systems based on fuzzy rule generation techniques, Springer, Cham, 358-372, 2019, Cites: 7
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Adam Słowik and Krzysztof Cpałka and Krystian Łapa, Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems, IEEE, 1125-1139, 2019, Cites: 6
On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion
Tomasz Rutkowski and Krystian Łapa and Maciej Jaworski and Radosław Nielek and Danuta Rutkowska, On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion, Springer, Cham, 717-724, 2019, Cites: 11

2018 (7)

Prediction of values of the dynamic signature features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, Prediction of values of the dynamic signature features, Pergamon, 86-96, 2018, Cites: 16
Multi-objective evolutionary instance selection for regression tasks
Mirosław Kordos and Krystian Łapa, Multi-objective evolutionary instance selection for regression tasks, Multidisciplinary Digital Publishing Institute, 746, 2018, Cites: 8
Evolutionary approach for automatic design of PID controllers
Krystian Łapa and Krzysztof Cpałka, Evolutionary approach for automatic design of PID controllers, Springer, Cham, 353-373, 2018, Cites: 2
Genetic programming algorithm for designing of control systems
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, Genetic programming algorithm for designing of control systems, 668-683, 2018, Cites: 13
Obtaining pareto front in instance selection with ensembles and populations
Mirosław Kordos and Marcin Wydrzyński and Krystian Łapa, Obtaining pareto front in instance selection with ensembles and populations, Springer, Cham, 438-448, 2018, Cites: 2
New aspects of interpretability of fuzzy systems for nonlinear modeling
Krystian Łapa and Krzysztof Cpałka and Leszek Rutkowski, New aspects of interpretability of fuzzy systems for nonlinear modeling, Springer, Cham, 225-264, 2018, Cites: 12
Negative space-based population initialization algorithm (NSPIA)
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Konrad Grzanek, Negative space-based population initialization algorithm (NSPIA), Springer, Cham, 449-461, 2018, Cites: 10

2017 (10)

A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, A method for nonlinear fuzzy modelling using population based algorithm with flexibly selectable operators, Springer, Cham, 263-278, 2017, Cites: 3
Fuzzy PID controllers with FIR filtering and a method for their construction
Krystian Łapa and Krzysztof Cpałka and Andrzej Przybył and Takamichi Saito, Fuzzy PID controllers with FIR filtering and a method for their construction, Springer, Cham, 292-307, 2017, Cites: 5
Population-based algorithm with selectable evolutionary operators for nonlinear modeling
Krystian Łapa, Population-based algorithm with selectable evolutionary operators for nonlinear modeling, Springer, Cham, 15-26, 2017, Cites: 2
A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling
Krystian Łapa, A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling, Springer, Cham, 15-28, 2017, Cites: 0
A method for changes prediction of the dynamic signature global features over time
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka and Takamichi Saito, A method for changes prediction of the dynamic signature global features over time, Springer, Cham, 761-772, 2017, Cites: 3
Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling
Krystian Łapa and Krzysztof Cpałka, Weighted Fuzzy Genetic Programming Algorithm for Structure and Parameters Selection of Fuzzy Systems for Nonlinear Modelling, Springer, Cham, 157-174, 2017, Cites: 0
Hybrid initialization in the process of evolutionary learning
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, Hybrid initialization in the process of evolutionary learning, Springer, Cham, 380-393, 2017, Cites: 4
Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction
Krystian Łapa and Krzysztof Cpałka, Flexible fuzzy PID controller (FFPIDC) and a nature-inspired method for its construction, IEEE, 1078-1088, 2017, Cites: 21
Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm
Krystian Łapa, Elastic FOPID+ FIR Controller Design Using Hybrid Population-Based Algorithm, Springer, Cham, 15-26, 2017, Cites: 3
PID-fuzzy controllers with dynamic structure and evolutionary method for their construction
Krystian Łapa and Krzysztof Cpałka, PID-fuzzy controllers with dynamic structure and evolutionary method for their construction, Springer, Cham, 138-148, 2017, Cites: 1

2016 (9)

A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
Łukasz Bartczuk and Krystian Łapa and Petia Koprinkova-Hristova, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Springer, Cham, 262-278, 2016, Cites: 11
New method for fuzzy nonlinear modelling based on genetic programming
Krystian Łapa and Krzysztof Cpałka and Petia Koprinkova-Hristova, New method for fuzzy nonlinear modelling based on genetic programming, Springer, Cham, 432-449, 2016, Cites: 7
Aspects of evolutionary construction of new flexible PID-fuzzy controller
Krystian Łapa and Jacek Szczypta and Takamichi Saito, Aspects of evolutionary construction of new flexible PID-fuzzy controller, Springer, Cham, 450-464, 2016, Cites: 6
Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm
Krystian Łapa and Krzysztof Cpałka, Nonlinear pattern classification using fuzzy system and hybrid genetic-imperialist algorithm, Springer, Cham, 159-171, 2016, Cites: 2
The method of the evolutionary designing the elastic controller structure
Andrzej Przybył and Krystian Łapa and Jacek Szczypta and Lipo Wang, The method of the evolutionary designing the elastic controller structure, Springer, Cham, 476-492, 2016, Cites: 3
New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New approach for interpretability of neuro-fuzzy systems with parametrized triangular norms, Springer, Cham, 248-265, 2016, Cites: 3
Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm
Jacek Szczypta and Krystian Łapa, Aspects of structure selection and parameters tuning of control systems using hybrid genetic-fruit fly algorithm, Springer, Cham, 101-110, 2016, Cites: 2
On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection
Krystian Łapa and Krzysztof Cpałka, On the application of a hybrid genetic-firework algorithm for controllers structure and parameters selection, Springer, Cham, 111-123, 2016, Cites: 16
New approach for nonlinear modelling based on online designing of the fuzzy rule base
Krystian Łapa and Krzysztof Cpałka and Yoichi Hayashi, New approach for nonlinear modelling based on online designing of the fuzzy rule base, Springer, Cham, 230-247, 2016, Cites: 2

2015 (3)

A new approach to design of control systems using genetic programming
Krzysztof Cpalka and Krystian Łapa and Andrzej Przybył, A new approach to design of control systems using genetic programming, 433-442, 2015, Cites: 44
Aspects of structure and parameters selection of control systems using selected multi-population algorithms
Krystian Łapa and Jacek Szczypta and Rajasekar Venkatesan, Aspects of structure and parameters selection of control systems using selected multi-population algorithms, Springer, Cham, 247-260, 2015, Cites: 22
A new interpretability criteria for neuro-fuzzy systems for nonlinear classification
Krystian Łapa and Krzysztof Cpałka and Alexander I Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification, Springer, Cham, 448-468, 2015, Cites: 11

2014 (3)

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
K Cpałka and K Łapa and A Przybył and M Zalasiński, A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects, Elsevier, 203-217, 2014, Cites: 73
New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability
Krystian Łapa and Krzysztof Cpałka and Lipo Wang, New method for design of fuzzy systems for nonlinear modelling using different criteria of interpretability, Springer, Cham, 217-232, 2014, Cites: 41
Aspects of the selection of the structure and parameters of controllers using selected population based algorithms
Jacek Szczypta and Krystian Łapa and Zhifei Shao, Aspects of the selection of the structure and parameters of controllers using selected population based algorithms, Springer, Cham, 440-454, 2014, Cites: 18

2013 (3)

A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling
Krystian Łapa and Marcin Zalasiński and Krzysztof Cpałka, A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 329-344, 2013, Cites: 39
New algorithm for evolutionary selection of the dynamic signature global features
Marcin Zalasiński and Krystian Łapa and Krzysztof Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Springer, Berlin, Heidelberg, 113-121, 2013, Cites: 36
A new approach to designing interpretable models of dynamic systems
Krystian Łapa and Andrzej Przybył and Krzysztof Cpałka, A new approach to designing interpretable models of dynamic systems, Springer, Berlin, Heidelberg, 523-534, 2013, Cites: 44

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