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Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms
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Orientador(es)
Resumo(s)
Integrating user preferences in Evolutionary Multiobjective Optimization (EMO) is currently a prevalent research topic. There is a large variety of preference handling methods (originated from Multicriteria decision making, MCDM) and EMO methods, which have been combined in various ways. This paper proposes a Web Ontology Language (OWL) ontology to model and systematize the knowledge of preferencebased multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on how to build and use the ontology with the help
of Prot´eg´e. Different use-cases, including training new learners, querying
and reasoning are exemplified and show remarkable benefit for both
EMO and MCDM communities.
Descrição
Palavras-chave
Preference Evolutionary Multiobjective Optimization Multicriteria decision making OWL ontology Protégé
Contexto Educativo
Citação
Li, Longmei & Yevseyeva, I. & Basto Fernandes, Vitor & Trautmann, Heike & Jing, Ning & Emmerich, Michael. (2017). Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. Lecture Notes in Computer Science. 10173. 406-421. 10.1007/978-3-319-54157-0_28
Editora
Springer International Publishing
Licença CC
Sem licença CC