Lancaster EPrints

Intelligent optimal control of biotechnological processes.

Angelov, Plamen (1996) Intelligent optimal control of biotechnological processes. In: 4th European Congress on Intelligent Techniques and Soft Computing, 1996-09-021996-09-05, Aachen, Germany.

[img]
Preview
PDF (eufit96.pdf)
Download (45Kb) | Preview

    Abstract

    The aim of the paper is to present an approach to optimal control of biotechnological processes, described by fuzzy sets which is based on genetic algorithms (GA). It allows more adequate, flexible and intelligent (human oriented) description of bioprocess dynamic and inclusion of this information in an effective and robust optimization procedure. Related algorithms and software are designed and tested with data from the real biotechnological process of -d-glucose-O2-oxidase-1 synthesis. The proposed approach and algorithms are applicable to other bioprocesses.

    Item Type: Conference or Workshop Item (Paper)
    Journal or Publication Title: 4th European Congress on Intelligent Techniques and Soft Computing
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 27126
    Deposited By: Dr. Plamen Angelov
    Deposited On: 01 Oct 2009 11:04
    Refereed?: Yes
    Published?: Published
    Last Modified: 21 Mar 2014 09:57
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/27126

    Actions (login required)

    View Item