{"title":"Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms","doi":"10.1007/978-3-319-54157-0_28","date_updated":"2023-10-16T13:35:17Z","publisher":"Springer International Publishing","date_created":"2023-08-04T15:02:20Z","author":[{"full_name":"Li, L","last_name":"Li","first_name":"L"},{"full_name":"Yevseyeva, I","last_name":"Yevseyeva","first_name":"I"},{"first_name":"V","last_name":"Basto-Fernandes","full_name":"Basto-Fernandes, V"},{"id":"100740","full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike"},{"full_name":"Jing, N","last_name":"Jing","first_name":"N"},{"last_name":"Emmerich","full_name":"Emmerich, M","first_name":"M"}],"year":"2017","place":"Cham","citation":{"ama":"Li L, Yevseyeva I, Basto-Fernandes V, Trautmann H, Jing N, Emmerich M. Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. In: Trautmann H, Rudolph G, Klamroth K, et al., eds. Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Springer International Publishing; 2017:406–421. doi:10.1007/978-3-319-54157-0_28","chicago":"Li, L, I Yevseyeva, V Basto-Fernandes, Heike Trautmann, N Jing, and M Emmerich. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme, 406–421. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_28.","ieee":"L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, and M. Emmerich, “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms,” in Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 406–421.","apa":"Li, L., Yevseyeva, I., Basto-Fernandes, V., Trautmann, H., Jing, N., & Emmerich, M. (2017). Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. In H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings (pp. 406–421). Springer International Publishing. https://doi.org/10.1007/978-3-319-54157-0_28","mla":"Li, L., et al. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.” Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann et al., Springer International Publishing, 2017, pp. 406–421, doi:10.1007/978-3-319-54157-0_28.","bibtex":"@inbook{Li_Yevseyeva_Basto-Fernandes_Trautmann_Jing_Emmerich_2017, place={Cham}, title={Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms}, DOI={10.1007/978-3-319-54157-0_28}, booktitle={Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}, publisher={Springer International Publishing}, author={Li, L and Yevseyeva, I and Basto-Fernandes, V and Trautmann, Heike and Jing, N and Emmerich, M}, editor={Trautmann, H and Rudolph, G and Klamroth, K and Schütze, O and Wiecek, M and Jin, Y and Grimme, C}, year={2017}, pages={406–421} }","short":"L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M. Emmerich, in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 406–421."},"page":"406–421","publication_identifier":{"isbn":["978-3-319-54157-0"]},"language":[{"iso":"eng"}],"_id":"46356","user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"editor":[{"last_name":"Trautmann","full_name":"Trautmann, H","first_name":"H"},{"first_name":"G","full_name":"Rudolph, G","last_name":"Rudolph"},{"last_name":"Klamroth","full_name":"Klamroth, K","first_name":"K"},{"last_name":"Schütze","full_name":"Schütze, O","first_name":"O"},{"last_name":"Wiecek","full_name":"Wiecek, M","first_name":"M"},{"first_name":"Y","last_name":"Jin","full_name":"Jin, Y"},{"last_name":"Grimme","full_name":"Grimme, C","first_name":"C"}],"abstract":[{"lang":"eng","text":"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 preference-based multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on how to build and use the ontology with the help of Protégé. Different use-cases, including training new learners, querying and reasoning are exemplified and show remarkable benefit for both EMO and MCDM communities."}],"status":"public","type":"book_chapter","publication":"Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings"}