Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning
Editorial  ·  Published: 19 February 2025
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ICCK Transactions on Swarm and Evolutionary Learning
Volume 1, Issue 1, 2025: 1-2
Editorial Open Access

Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning

1 Depto. de Ingeniería Electro-Fotónica, Universidad de Guadalajara, CUCEI, Guadalajara, Mexico
* Corresponding Author: Diego Oliva, [email protected]
Volume 1, Issue 1
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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.

Keywords

Swarm Learning Evolutionary Learning

Funding

This work was supported without any funding.

Conflicts of Interest

The author declares no conflict of interest.

Cite This Article

APA Style
Oliva, D. (2025). Inaugural Editorial of the Transactions on Swarm and Evolutionary Learning. ICCK Transactions on Swarm and Evolutionary Learning, 1(1), 1–2. https://doi.org/10.62762/TSEL.2025.550341
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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  - 
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Compatible with LaTeX, BibTeX, and other reference managers
@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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CC BY 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.
ICCK Transactions on Swarm and Evolutionary Learning
ICCK Transactions on Swarm and Evolutionary Learning
ISSN: 3069-2962 (Online)
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