| dc.contributor | 科管智財所 | en_US |
| dc.creator (作者) | 鄭至甫 | zh_TW |
| dc.creator (作者) | Jeng, Jyh‐Fu | en_US |
| dc.date (日期) | 2008 | en_US |
| dc.date.accessioned | 7-十一月-2014 16:02:44 (UTC+8) | - |
| dc.date.available | 7-十一月-2014 16:02:44 (UTC+8) | - |
| dc.date.issued (上傳時間) | 7-十一月-2014 16:02:44 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/71239 | - |
| dc.description.abstract (摘要) | A bio-soft computing method with fixed-length DNA to solve a group control optimization problem is presented in this paper. In the example of a multi-elevator dispatching problem, fixed-length DNA strands are used in representing the nodes and costs, where the costs are varied by the melting temperature of DNA strands. The optimal solution to a 6-story 2-elevator dispatching problem is searched by biochemical techniques based on the thermodynamic properties of designed DNA strands. This research has shown the potential of bio-soft computing solving the engineering applications, and could be implemented in the future bio-systems. | en_US |
| dc.format.extent | 279890 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Soft Computing, 12(3), 223-228 | en_US |
| dc.subject (關鍵詞) | Soft computing;DNA computing;Evolutionary computation;Combinatorial optimization;Elevator dispatching problem | en_US |
| dc.title (題名) | Bio-soft computing with fixed-length DNA to a group control optimization problem | en_US |
| dc.type (資料類型) | article | en |
