A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors

A combined algorithm for static optimization is developed. The algorithm includes a method for random search of optimal an initial point and a method based on fuzzy sets theory, combined in order to be found for the best solution of the optimization problem. The application of the combined algorithm...

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Bibliographic Details
Main Author: Mitko Petrov
Format: Article
Language:English
Published: Academic Publishing House 2005-12-01
Series:Bioautomation
Subjects:
Online Access:http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_1.2.pdf
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author Mitko Petrov
author_facet Mitko Petrov
author_sort Mitko Petrov
collection DOAJ
description A combined algorithm for static optimization is developed. The algorithm includes a method for random search of optimal an initial point and a method based on fuzzy sets theory, combined in order to be found for the best solution of the optimization problem. The application of the combined algorithm eliminates the main disadvantage of the used fuzzy optimization method, namely decreases the number of discrete values of control variables. In this way, the algorithm allows problems with larger scale to be solved. The combined algorithm is used for optimization of gas-liquid transition in dependence on some constructive and regime parameters of a laboratory scale stirred tank bioreactor. After the application of developed optimization algorithm significant increase of mass-transfer effectiveness, aeration and mixing processes in the bioreactor are observed.
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spelling doaj.art-5169560d82c647e0acd55637c04e8dac2022-12-22T00:35:45ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2005-12-01311018A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank BioreactorsMitko PetrovA combined algorithm for static optimization is developed. The algorithm includes a method for random search of optimal an initial point and a method based on fuzzy sets theory, combined in order to be found for the best solution of the optimization problem. The application of the combined algorithm eliminates the main disadvantage of the used fuzzy optimization method, namely decreases the number of discrete values of control variables. In this way, the algorithm allows problems with larger scale to be solved. The combined algorithm is used for optimization of gas-liquid transition in dependence on some constructive and regime parameters of a laboratory scale stirred tank bioreactor. After the application of developed optimization algorithm significant increase of mass-transfer effectiveness, aeration and mixing processes in the bioreactor are observed.http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_1.2.pdf Combined algorithmOptimizationGas-liquid transitionFuzzy sets theoryMethod of random search with back stepsFuzzy optimization
spellingShingle Mitko Petrov
A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
Bioautomation
Combined algorithm
Optimization
Gas-liquid transition
Fuzzy sets theory
Method of random search with back steps
Fuzzy optimization
title A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
title_full A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
title_fullStr A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
title_full_unstemmed A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
title_short A Combined Algorithm for Optimization: Application for Optimization of the Transition Gas-Liquid in Stirred Tank Bioreactors
title_sort combined algorithm for optimization application for optimization of the transition gas liquid in stirred tank bioreactors
topic Combined algorithm
Optimization
Gas-liquid transition
Fuzzy sets theory
Method of random search with back steps
Fuzzy optimization
url http://www.clbme.bas.bg/bioautomation/2005/vol_3.1/files/3_1.2.pdf
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