RT Journal Article
T1 MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms
A1 Aldana Martín, José Francisco
A1 Roldán-García, María del Mar
A1 Nebro-Urbaneja, Antonio Jesús
A1 Aldana-Montes, José Francisco
K1 Computación evolutiva
K1 Redes neuronales (Informática)
AB The application of semantic technologies, particularly ontologies, in the realm of multi-objective evolutionary algorithms is overlook despite their effectiveness in knowledge representation. In this paper, we introduce MOODY, an ontology specifically tailored to formalize these kinds of algorithms, encompassing their respective parameters, and multi-objective optimization problems based on a characterization of their search space landscapes. MOODY is designed to be particularly applicable in automatic algorithm configuration, which involves the search of the parameters of an optimization algorithm to optimize its performance. In this context, we observe a notable absence of standardized components, parameters, and related considerations, such as problem characteristics and algorithm configurations. This lack of standardization introduces difficulties in the selection of valid component combinations and in the re-use of algorithmic configurations between different algorithm implementations. MOODY offers a means to infuse semantic annotations into the configurations found by automatic tools, enabling efficient querying of the results and seamless integration across diverse sources through their incorporation into a knowledge graph. We validate our proposal by presenting four case studies.
PB Elsevier
YR 2024
FD 2024-01-23
LK https://hdl.handle.net/10630/29583
UL https://hdl.handle.net/10630/29583
LA eng
NO José F. Aldana-Martín, María del Mar Roldán-García, Antonio J. Nebro, José F. Aldana-Montes, MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms, Information Sciences, Volume 661, 2024, 120184, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2024.120184
NO Funding for open Access charge: Universidad de Málaga / CBUA.This work has been partially funded by the Spanish Ministry of Science and Innovation via Grant PID2020-112540RB-C41 (AEI/FEDER, UE) and the Andalusian PAIDI program with grant P18-RT-2799. José F. Aldana-Martín is supported by Grant PRE2021-098594 (Spanish Ministry of Science, Innovation and Universities).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026