| dc.contributor | 資科系 | |
| dc.creator (作者) | Hwang, T.Y.;Tsai, C.M.;Huang, Chih-Chieh | |
| dc.date (日期) | 2009 | |
| dc.date.accessioned | 23-Oct-2015 17:41:00 (UTC+8) | - |
| dc.date.available | 23-Oct-2015 17:41:00 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-Oct-2015 17:41:00 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/79037 | - |
| 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-defined weight 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 | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | WSEAS Transactions on Systems,8(5),604-612 | |
| dc.subject (關鍵詞) | Actual system; Comparative studies; Compensator placement; Compromise programming; Immune algorithm; Multi objective; Multi objective algorithm; Multiple planning; Non-inferior set; Optimal compensators; Optimal solutions; Problem formulation; Two stage; Weight factor; Algorithms; Fuzzy sets; Multiobjective optimization; Set theory | |
| dc.title (題名) | System optimal compensators placement via immune multi-objective algorithm | |
| dc.type (資料類型) | article | en |
