學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Optimal capacitors appointment though immune multi-objective algorithm
作者 Huang, T. L.;Tsai, C. M.;Hwang, T. Y.;Huang, C. C.;Lien, Y. N.;Chen, C. R.;Chang, C. H.
連耀南
貢獻者 資科系
關鍵詞 Compensator placement; immune algorithm; non-inferior set; compromise programming
日期 2010
上傳時間 21-Dec-2015 16:01:59 (UTC+8)
摘要 This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal compensator placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of non-inferior (Pareto) solutions rather than any single aggregated optimal solution. Additionally, this developed approach eliminates the need for any user-definedweight factor to aggregate all objectives. Comparative studies are conducted on an actual system with encouraging results, demonstrating the effectiveness of the proposed approach.
關聯 Journal of Information and Optimization Sciences, 31(5), 973-992
資料類型 article
DOI http://dx.doi.org/10.1080/02522667.2010.10700006
dc.contributor 資科系
dc.creator (作者) Huang, T. L.;Tsai, C. M.;Hwang, T. Y.;Huang, C. C.;Lien, Y. N.;Chen, C. R.;Chang, C. H.
dc.creator (作者) 連耀南zh_TW
dc.date (日期) 2010
dc.date.accessioned 21-Dec-2015 16:01:59 (UTC+8)-
dc.date.available 21-Dec-2015 16:01:59 (UTC+8)-
dc.date.issued (上傳時間) 21-Dec-2015 16:01:59 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/79693-
dc.description.abstract (摘要) This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal compensator placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of non-inferior (Pareto) solutions rather than any single aggregated optimal solution. Additionally, this developed approach eliminates the need for any user-definedweight factor to aggregate all objectives. Comparative studies are conducted on an actual system with encouraging results, demonstrating the effectiveness of the proposed approach.
dc.format.extent 129 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Information and Optimization Sciences, 31(5), 973-992
dc.subject (關鍵詞) Compensator placement; immune algorithm; non-inferior set; compromise programming
dc.title (題名) Optimal capacitors appointment though immune multi-objective algorithm
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/02522667.2010.10700006
dc.doi.uri (DOI) http://dx.doi.org/10.1080/02522667.2010.10700006