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moody (Multi-Objective Optimization ontologY) is a OWL2 ontology aiming to provide the ontology model to allow the semantic consolidation of the data related to multi-objective optimization experiments, including algorithms, problems and quality indicators. moody is in development at https://gitlab.com/jfaldanam-phd/moody.
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).
Ontology, Multi-Objective Optimization, Reasoning, Evolutionary algorithms, Semantic Web
Ontology, Multi-Objective Optimization, Reasoning, Evolutionary algorithms, Semantic Web
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