Evo* 2025 -- Late-Breaking Abstracts Volume
Mora, A. M., Esparcia-Alcázar, A. I., Cruz, M. S.
–arXiv.org Artificial Intelligence
These proceedings include the Late-Breaking Abstracts accepted for the Evo* 2025 Conference, hosted in Trieste (Italy), from April 23th to 25th. These extended abstracts were presented through short talks at the conference, providing an overview of ongoing research and initial results on the application of diverse Evolutionary Computation strategies and other Nature-Inspired methodologies to practical problem domains. Collectively, these contributions point to encouraging directions for future work, underscoring the potential of nature-inspired approaches-- especially Evolutionary Algorithms -- for advancing research and enabling new applications.
arXiv.org Artificial Intelligence
Nov-25-2025
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