Editorial
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Swarm Intelligence and Its Role in Tomorrow’s Innovations
1
Department of Computational Sciences, University Center of Exact Sciences and Engineering (CUCEI), University of Guadalajara, C.P. 44430, Guadalajara, Mexico
* Corresponding Author:
Arturo Valdivia G.,
[email protected]
Volume 1, Issue 1
2025
Received: 25 July 2025
Accepted: 26 July 2025
Published: 29 August 2025
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Article Information
Published in
ICCK Transactions on Swarm and Evolutionary Learning
Volume/Issue
Volume 1, Issue 1, 2025
Pages
25-28
Abstract
This editorial highlights the principles, current applications, and future potential of swarm intelligence as a decentralized, self-organizing paradigm driving innovation across robotics, optimization, and AI-integrated systems.
Graphical Abstract
Keywords
swarm
swarm inteligence
nature inspired
PSO
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The author declares no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
References
- Bari, A., Zhao, R., Pothineni, J. S., & Saravanan, D. (2023). Swarm Intelligence Algorithms and Applications: An Experimental Survey. In Advances in Swarm Intelligence: 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I (pp. 3--17). Springer-Verlag.
[CrossRef] [Google Scholar] - Tzanetos, A., & Dounias, G. (2020). A comprehensive survey on the applications of swarm intelligence and bio-inspired evolutionary strategies. Machine learning paradigms: advances in deep learning-based technological applications, 337-378.
[CrossRef] [Google Scholar] - Wang, C., Zhang, S., MA, T., Xiao, Y., Chen, M. Z., & Wang, L. (2025). Swarm intelligence: A survey of model classification and applications. Chinese Journal of Aeronautics, 38(3), 102982.
[CrossRef] [Google Scholar]
Cite This Article
APA Style
Glez, A. V. (2025). Swarm Intelligence and Its Role in Tomorrow’s Innovations. ICCK Transactions on Swarm and Evolutionary Learning, 1(1), 25–28. https://doi.org/10.62762/TSEL.2025.167973
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TY - JOUR AU - G., Arturo Valdivia PY - 2025 DA - 2025/08/29 TI - Swarm Intelligence and Its Role in Tomorrow’s Innovations 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 - 25 EP - 28 DO - 10.62762/TSEL.2025.167973 UR - https://www.icck.org/article/abs/TSEL.2025.167973 KW - swarm KW - swarm inteligence KW - nature inspired KW - PSO AB - This editorial highlights the principles, current applications, and future potential of swarm intelligence as a decentralized, self-organizing paradigm driving innovation across robotics, optimization, and AI-integrated systems. SN - 3069-2962 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{G2025Swarm,
author = {Arturo Valdivia G.},
title = {Swarm Intelligence and Its Role in Tomorrow’s Innovations},
journal = {ICCK Transactions on Swarm and Evolutionary Learning},
year = {2025},
volume = {1},
number = {1},
pages = {25-28},
doi = {10.62762/TSEL.2025.167973},
url = {https://www.icck.org/article/abs/TSEL.2025.167973},
abstract = {This editorial highlights the principles, current applications, and future potential of swarm intelligence as a decentralized, self-organizing paradigm driving innovation across robotics, optimization, and AI-integrated systems.},
keywords = {swarm, swarm inteligence, nature inspired, PSO},
issn = {3069-2962},
publisher = {Institute of Central Computation and Knowledge}
}
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