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Evo* 2023 -- Late-Breaking Abstracts Volume

2024/03/20 by Mora, A. M., Esparcia-Alcázar, A. I.
#68T05 #68W20 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.0 #I.2 #K.4 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)

paper · doi:10.48550/arxiv.2403.13950

Abstract

Volume with the Late-Breaking Abstracts submitted to the Evo* 2023 Conference, held in Brno (Czech Republic), from 12 to 14 of April. These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods (mainly Evolutionary Computation) to different problems, most of them real world ones.

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