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A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms Cover

A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms

Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 4 (October 2023)
By: Krystian Łapa,  Danuta Rutkowska,  Aleksander Byrski and  Christian Napoli  
Open Access
|Oct 2023

Authors

Krystian Łapa

krystian.lapa@pcz.pl

Częstochowa University of Technology, Częstochowa, Poland

Danuta Rutkowska

University of Social Sciences, Łódź, Poland

Aleksander Byrski

AGH University of Kraków, Krakow, Poland

Christian Napoli

Christian Napoli Sapienza University of Rome, Rome, Italy
DOI: https://doi.org/10.2478/jaiscr-2023-0020
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Language: English
Page range: 289 - 306
Submitted on: May 6, 2023
|
Accepted on: Oct 11, 2023
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Published on: Oct 30, 2023
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
multi-population-based algorithms,
migration topologies,
population stagnation
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2023 Krystian Łapa, Danuta Rutkowska, Aleksander Byrski, Christian Napoli, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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