Author
Contributions by role
Author 1
Mario A. Navarro
Universidad de Guadalajara, México
Summary
In 2016, he obtained a Communications and Electronics Engineering degree from the University of Guadalajara. Subsequently, he completed a Master of Science in Electronic Engineering and Computer Science, focusing his research on the design of metaheuristic algorithms and applications in image segmentation. In 2023, he obtained his PhD in Electronic and Computer Engineering at the Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI) in Guadalajara, Mexico, concentrating on the coevolution of metaheuristic strategies to solve various optimization problems. His research interests include artificial intelligence, specifically the design and hybridization of evolutionary algorithms, the development of operators and hyperheuristics to solve high-dimensional problems, and the integration of evolutionary algorithms and machine learning.
Edited Journals
ICCK Contributions

Editorial | 30 August 2025
The Age of AI Responsibility: Towards Human-Centric and Ethical Swarm Intelligence
ICCK Transactions on Swarm and Evolutionary Learning | Volume 1, Issue 1: 29-31, 2025 | DOI: 10.62762/TSEL.2025.807182
Abstract
Swarm and evolutionary computation topics has demonstrated remarkable effectiveness in solving complex optimization problems across various scientific and engineering fields. However, as these methods are increasingly used in high-risk applications such as healthcare, finance, and autonomous systems, there is a growing need to address their ethical, interpretability, and social implications. This editorial outlines key guidelines for creating bio-inspired computing systems that are responsible and transparent, highlighting the fundamental role of ethics and explainability in shaping the future of evolutionary and swarm learning. More >

Graphical Abstract
The Age of AI Responsibility: Towards Human-Centric and Ethical Swarm Intelligence