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A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules.

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A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. / Angelov, Plamen; Guthke, Reinhard.
In: Bioprocess and Biosystems Engineering, Vol. 16, No. 5, 04.1997, p. 299-303.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Angelov P, Guthke R. A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. Bioprocess and Biosystems Engineering. 1997 Apr;16(5):299-303. doi: 10.1007/s004490050326

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Angelov, Plamen ; Guthke, Reinhard. / A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. In: Bioprocess and Biosystems Engineering. 1997 ; Vol. 16, No. 5. pp. 299-303.

Bibtex

@article{70aae910b8d24c43b6546d11044980d6,
title = "A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules.",
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",
keywords = "Add DCS-publications-id, art-554, DCS-publications-personnel-id, 82",
author = "Plamen Angelov and Reinhard Guthke",
note = "The original publication is available at www.springerlink.com",
year = "1997",
month = apr,
doi = "10.1007/s004490050326",
language = "English",
volume = "16",
pages = "299--303",
journal = "Bioprocess and Biosystems Engineering",
issn = "1615-7591",
publisher = "Springer Verlag",
number = "5",

}

RIS

TY - JOUR

T1 - A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules.

AU - Angelov, Plamen

AU - Guthke, Reinhard

N1 - The original publication is available at www.springerlink.com

PY - 1997/4

Y1 - 1997/4

N2 - 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

AB - 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

KW - Add DCS-publications-id

KW - art-554

KW - DCS-publications-personnel-id

KW - 82

U2 - 10.1007/s004490050326

DO - 10.1007/s004490050326

M3 - Journal article

VL - 16

SP - 299

EP - 303

JO - Bioprocess and Biosystems Engineering

JF - Bioprocess and Biosystems Engineering

SN - 1615-7591

IS - 5

ER -