Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning
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Abstract
The ICCK Transactions on Swarm and Evolutionary Learning (TSEL) is a new journal focused on nature-inspired computation. This journal is launched at a time when swarm and evolutionary algorithms have impacted different areas of research. Their progress is not only theoretical but also applications in complex tasks, supporting their adaptability and popularity. In this sense, TSEL aims to be at the forefront of the rapidly evolving landscape of these interdisciplinary fields. On behalf of the editorial team, I warmly welcome scholars, experts, researchers, and readers who support and follow our journal.
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TY - JOUR AU - Oliva, Diego PY - 2025 DA - 2025/02/19 TI - Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning JO - ICCK Transactions on Swarm and Evolutionary Learning T2 - ICCK Transactions on Swarm and Evolutionary Learning JF - ICCK Transactions on Swarm and Evolutionary Learning VL - 1 IS - 1 SP - 1 EP - 2 DO - 10.62762/TSEL.2025.550341 UR - https://www.icck.org/article/abs/TSEL.2025.550341 KW - Swarm Learning KW - Evolutionary Learning AB - The ICCK Transactions on Swarm and Evolutionary Learning (TSEL) is a new journal focused on nature-inspired computation. This journal is launched at a time when swarm and evolutionary algorithms have impacted different areas of research. Their progress is not only theoretical but also applications in complex tasks, supporting their adaptability and popularity. In this sense, TSEL aims to be at the forefront of the rapidly evolving landscape of these interdisciplinary fields. On behalf of the editorial team, I warmly welcome scholars, experts, researchers, and readers who support and follow our journal. SN - 3069-2962 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Oliva2025Inaugural,
author = {Diego Oliva},
title = {Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning},
journal = {ICCK Transactions on Swarm and Evolutionary Learning},
year = {2025},
volume = {1},
number = {1},
pages = {1-2},
doi = {10.62762/TSEL.2025.550341},
url = {https://www.icck.org/article/abs/TSEL.2025.550341},
abstract = {The ICCK Transactions on Swarm and Evolutionary Learning (TSEL) is a new journal focused on nature-inspired computation. This journal is launched at a time when swarm and evolutionary algorithms have impacted different areas of research. Their progress is not only theoretical but also applications in complex tasks, supporting their adaptability and popularity. In this sense, TSEL aims to be at the forefront of the rapidly evolving landscape of these interdisciplinary fields. On behalf of the editorial team, I warmly welcome scholars, experts, researchers, and readers who support and follow our journal.},
keywords = {Swarm Learning, Evolutionary Learning},
issn = {3069-2962},
publisher = {Institute of Central Computation and Knowledge}
}
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Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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