dc.contributor.author |
Patel, Narendra |
|
dc.contributor.author |
Padhiyar, Nitin |
|
dc.date.accessioned |
2017-01-17T07:26:48Z |
|
dc.date.available |
2017-01-17T07:26:48Z |
|
dc.date.issued |
2017-03 |
|
dc.identifier.citation |
Patel, Narendra and Padhiyar, Nitin, “Multi-objective optimal control study of Fed-Batch Bio-Reactor”, Chemical Engineering Research and Design, Jan. 2017. |
en_US |
dc.identifier.citation |
Patel, Narendra and Padhiyar, Nitin, “Multi-objective dynamic optimization study of fed-batch bio-reactor”, Chemical Engineering Research and Design, DOI: 10.1016/j.cherd.2017.01.002, vol. 119, pp. 160-170, Mar. 2017. |
|
dc.identifier.citation |
2017-03 |
|
dc.identifier.issn |
0263-8762 |
|
dc.identifier.issn |
1744-3563 |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/2627 |
|
dc.identifier.uri |
http://dx.doi.org/10.1016/j.cherd.2017.01.002 |
|
dc.description.abstract |
Evolutionary algorithms are widely used for dynamic optimization problems of fed-batch bio-reactors for productivity-yield maximization by optimizing the substrate feed recipe. However, this is usually done for a fixed fed-batch time. Conventionally, the optimum fed-batch time is computed by solving several single objective dynamic optimization problems for different fed-batch time. Since this approach is computationally quite expensive, we propose a Multi-Objective Optimization (MOO) problem formulation to find the optimum fed-batch time for maximizing productivity and/or yield. Such an MOO approach is expected to save significant computational efforts. To demonstrate the proposed MOO implementations for dynamic optimization of fed-batch bio-reactors, secreted protein production is considered as a case study. Specifically, four distinct objectives, namely productivity, yield, fed-batch time, and endpoint substrate concentration are considered in this work. An evolutionary multi-objective differential evolution algorithm is used for solving the MOO problems. |
en_US |
dc.description.statementofresponsibility |
by Narendra Patel and Nitin Padhiyar |
|
dc.format.extent |
Vol. 119, pp. 160-170 |
|
dc.language.iso |
en_US |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.subject |
Multi-objective optimization |
en_US |
dc.subject |
Mesh sort |
en_US |
dc.subject |
Fed-batch reactor |
en_US |
dc.subject |
Dynamic optimization |
en_US |
dc.title |
Multi-objective optimal control study of Fed-Batch Bio-Reactor |
en_US |
dc.type |
Article |
en_US |
dc.relation.journal |
Chemical Engineering Research and Design |
|