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Multi-Objective Evolutionary Instance Selection for Regression Tasks

Mirosław Kordos, Krystian Łapa
2018 Entropy  
The purpose of instance selection is to reduce the data size while preserving as much useful information stored in the data as possible and detecting and removing the erroneous and redundant information. In this work, we analyze instance selection in regression tasks and apply the NSGA-II multi-objective evolutionary algorithm to direct the search for the optimal subset of the training dataset and the k-NN algorithm for evaluating the solutions during the selection process. A key advantage of
more » ... e method is obtaining a pool of solutions situated on the Pareto front, where each of them is the best for certain RMSE-compression balance. We discuss different parameters of the process and their influence on the results and put special efforts to reducing the computational complexity of our approach. The experimental evaluation proves that the proposed method achieves good performance in terms of minimization of prediction error and minimization of dataset size.
doi:10.3390/e20100746 pmid:33265835 fatcat:66s4pka3wjhptpaztjqdirnut4

Genetic Programming Algorithm for Designing of Control Systems

Krzysztof Cpalka, Krystian Łapa, Andrzej Przybył
2018 Information Technology and Control  
[27] no no no no yes no no no Łapa and Cpałka [28] yes yes no yes yes yes yes yes Łapa and Cpałka [29] yes yes yes yes yes yes yes no Łapa et al.  ... 
doi:10.5755/j01.itc.47.4.20795 fatcat:dg4rw4xyqvhlte2vrqx7ulphdm

On Explainable Fuzzy Recommenders and their Performance Evaluation

Tomasz Rutkowski, Krystian Łapa, Radosław Nielek
2019 International Journal of Applied Mathematics and Computer Science  
Krystian Łapa is an associate professor in the Institute of Computational Intelligence at the Częstochowa University of Technology, where he received his PhD degree in 2015.  ... 
doi:10.2478/amcs-2019-0044 fatcat:iam5q6sc4jgtll7b4ftwzsyg7q

Evolutionary Algorithm with a Configurable Search Mechanism

Krystian Łapa, Krzysztof Cpałka, Łukasz Laskowski, Andrzej Cader, Zhigang Zeng
2020 Journal of Artificial Intelligence and Soft Computing Research  
Krystian  ... 
doi:10.2478/jaiscr-2020-0011 fatcat:74bb7enztvfzpdfzvspitnggzm

Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms [chapter]

Krystian Łapa, Jacek Szczypta, Rajasekar Venkatesan
2015 Lecture Notes in Computer Science  
In this paper a new approach for automatic design of control systems is presented. It is based on multi-population algorithms and allows to select not only parameters of control systems, but also its structure. Proposed approach was tested on a problem of stabilization of double spring-mass-damp object.
doi:10.1007/978-3-319-19369-4_23 fatcat:a2qvw7c7vngu3cnaak6w4ittay

On-Line Signature Partitioning Using a Population Based Algorithm

Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Krzysztof Przybyszewski, Gary G. Yen
2020 Journal of Artificial Intelligence and Soft Computing Research  
Unauthentifiziert | Heruntergeladen 17.12.19 04:08 UTC Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Krzysztof Przybyszewski, Gary G. Yen  ... 
doi:10.2478/jaiscr-2020-0001 fatcat:foc6zfwtzffzha33ydtukzw524

Acknowledgment to Reviewers of Energies in 2021

Energies Editorial Office
2022 Energies  
Krystian Heffner Aleksandra Fedajev Krystian Łapa Aleksandra Komorowska Krystian Leonard Chrzan  ...  Zemtsovskiy Kruno Milicevic Aleksandr Vasjanov Krystian Erwiński Aleksandra Dimitrijevic  ... 
doi:10.3390/en15031171 fatcat:ed5twpuvl5cilkzfjwwzgrk5cm