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Bibliographic Details
Main Authors: Mora, A. M., Esparcia-Alcázar, A. I., Cruz, M. S.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.17543
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author Mora, A. M.
Esparcia-Alcázar, A. I.
Cruz, M. S.
author_facet Mora, A. M.
Esparcia-Alcázar, A. I.
Cruz, M. S.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_17543
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Evo* 2025 -- Late-Breaking Abstracts Volume
Mora, A. M.
Esparcia-Alcázar, A. I.
Cruz, M. S.
Neural and Evolutionary Computing
Artificial Intelligence
68T05, 68W20
I.0; I.2; K.4
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.
title Evo* 2025 -- Late-Breaking Abstracts Volume
topic Neural and Evolutionary Computing
Artificial Intelligence
68T05, 68W20
I.0; I.2; K.4
url https://arxiv.org/abs/2511.17543