Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 4 (October 2023)
Open Access
A New Approach to Detecting and Preventing Populations Stagnation Through Dynamic Changes in Multi-Population-Based Algorithms
Krystian Łapa
Krystian Łapa
,
Danuta Rutkowska
Danuta Rutkowska
,
Aleksander Byrski
Aleksander Byrski
and
Christian Napoli
Christian Napoli
| Oct 30, 2023
Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 4 (October 2023)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Oct 30, 2023
Page range:
289 - 306
Received:
May 06, 2023
Accepted:
Oct 11, 2023
DOI:
https://doi.org/10.2478/jaiscr-2023-0020
Keywords
multi-population-based algorithms
,
migration topologies
,
population stagnation
© 2023 Krystian Łapa et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Krystian Łapa
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