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Evo* 2025 -- Late-Breaking Abstracts Volume

2025/11/09 by Mora, A. M., Esparcia-Alcázar, A. I., Cruz, M. S.
#68T05 #68W20 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.0 #I.2 #K.4 #Neural and Evolutionary Computing (cs.NE)

paper · doi:10.48550/arxiv.2511.17543

Abstract

Volume containing the Late-Breaking Abstracts submitted to the Evo* 2025 Conference, held in Trieste (Italy) from April 23rd to 25th. These extended abstracts showcase ongoing research and preliminary findings exploring the application of various Bioinspired Methods (primarily Evolutionary Computation) to a range of problems, many of which address real-world scenarios.

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