Multi-objective optimal control study of Fed-Batch Bio-Reactor

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dc.contributor.author Patel, Narendra Madhavlal
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 http://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


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