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Multi-Objective Evolutionary Instance Selection for Regression Tasks
2018
Entropy
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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
doi:10.3390/e20100746
pmid:33265835
fatcat:66s4pka3wjhptpaztjqdirnut4
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... 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.
Genetic Programming Algorithm for Designing of Control Systems
2018
Information Technology and Control
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[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
2019
International Journal of Applied Mathematics and Computer Science
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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
2020
Journal of Artificial Intelligence and Soft Computing Research
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Krystian ...
doi:10.2478/jaiscr-2020-0011
fatcat:74bb7enztvfzpdfzvspitnggzm
Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms
[chapter]
2015
Lecture Notes in Computer Science
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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
2020
Journal of Artificial Intelligence and Soft Computing Research
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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
2022
Energies
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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