Angelov, Plamen and Guthke, Reinhard (1997) A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. Bioprocess and Biosystems Engineering, 16 (5). pp. 299-303. ISSN 1615-7591
Full text not available from this repository.Abstract
A new approach to optimization of bioprocesses described by fuzzy rules is introduced in the paper. It is based on genetic algorithms (GA) and allows to determine optimal values or profiles of control variables and to optimize fuzzy rules (parameters of membership functions). The process can be described by linguistic variables and fuzzy rules. An algorithm and related software was developed. The approach was applied to an industrial antibiotic fermentation. The optimal profile of a physical variable of the preculture was determined which leads to an increasing output product concentration in the main culture of about 5%. (c) Springer
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Bioprocess and Biosystems Engineering |
| Additional Information: | The original publication is available at www.springerlink.com |
| Uncontrolled Keywords: | Add DCS-publications-id ; art-554 ; DCS-publications-personnel-id ; 82 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | Faculty of Science and Technology > School of Computing & Communications |
| ID Code: | 912 |
| Deposited By: | Dr. Plamen Angelov |
| Deposited On: | 09 Jan 2008 09:37 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 18:32 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/912 |
Actions (login required)
| View Item |
