Evo* 2023 -- Late-Breaking Abstracts Volume

Fuente: arXiv
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Main Authors: Mora, A. M., Esparcia-Alcázar, A. I.
Format: Preprint
Published: 2024
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author Mora, A. M.
Esparcia-Alcázar, A. I.
author_facet Mora, A. M.
Esparcia-Alcázar, A. I.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13950
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Evo* 2023 -- Late-Breaking Abstracts Volume
Mora, A. M.
Esparcia-Alcázar, A. I.
Neural and Evolutionary Computing
Artificial Intelligence
Machine Learning
68T05, 68W20
I.0; I.2; K.4
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.
title Evo* 2023 -- Late-Breaking Abstracts Volume
topic Neural and Evolutionary Computing
Artificial Intelligence
Machine Learning
68T05, 68W20
I.0; I.2; K.4
url https://arxiv.org/abs/2403.13950