A comparison of algorithms for the optimization of fermentation processes

Detalhes bibliográficos
Autor(a) principal: Mendes, Rui
Data de Publicação: 2006
Outros Autores: Rocha, I., Ferreira, Eugénio C., Rocha, Miguel
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/5385
Resumo: The optimization of biotechnological processes is a complex problem that has been intensively studied in the past few years due to the economic impact of the products obtained from fermentations. In fed-batch processes, the goal is to find the optimal feeding trajectory that maximizes the final productivity. Several methods, including Evolutionary Algorithms (EAs) have been applied to this task in a number of different fermentation processes. This paper performs an experimental comparison between Particle Swarm Optimization, Differential Evolution and a real-valued EA in three distinct case studies, taken from previous work by the authors and literature, all considering the optimization of fed-batch fermentation processes.
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spelling A comparison of algorithms for the optimization of fermentation processesEvolutionary computingFermentation processesParticle swarm optimizationDifferential EvolutionScience & TechnologyThe optimization of biotechnological processes is a complex problem that has been intensively studied in the past few years due to the economic impact of the products obtained from fermentations. In fed-batch processes, the goal is to find the optimal feeding trajectory that maximizes the final productivity. Several methods, including Evolutionary Algorithms (EAs) have been applied to this task in a number of different fermentation processes. This paper performs an experimental comparison between Particle Swarm Optimization, Differential Evolution and a real-valued EA in three distinct case studies, taken from previous work by the authors and literature, all considering the optimization of fed-batch fermentation processes.Portuguese Foundation for Science and Technology - Project POSC/EIA/59899/2004; Project SeARCH (Services and Advanced Research Computing with HTC/HPC clusters)/Contract CONCREEQ/443/2001.IEEEUniversidade do MinhoMendes, RuiRocha, I.Ferreira, Eugénio C.Rocha, Miguel20062006-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/5385engIEEE CONGRESS ON EVOLUTIONARY COMPUTATION, Vancouver, Canada, 2006 – “IEEE Congress on Evolutionary Computation”. [S.l. : IEEE Press, 2006]. ISBN 0-7803-9487-9. p. 7371-7378.0-7803-9487-9info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:51:31Zoai:repositorium.sdum.uminho.pt:1822/5385Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:00:27.275221Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A comparison of algorithms for the optimization of fermentation processes
title A comparison of algorithms for the optimization of fermentation processes
spellingShingle A comparison of algorithms for the optimization of fermentation processes
Mendes, Rui
Evolutionary computing
Fermentation processes
Particle swarm optimization
Differential Evolution
Science & Technology
title_short A comparison of algorithms for the optimization of fermentation processes
title_full A comparison of algorithms for the optimization of fermentation processes
title_fullStr A comparison of algorithms for the optimization of fermentation processes
title_full_unstemmed A comparison of algorithms for the optimization of fermentation processes
title_sort A comparison of algorithms for the optimization of fermentation processes
author Mendes, Rui
author_facet Mendes, Rui
Rocha, I.
Ferreira, Eugénio C.
Rocha, Miguel
author_role author
author2 Rocha, I.
Ferreira, Eugénio C.
Rocha, Miguel
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Mendes, Rui
Rocha, I.
Ferreira, Eugénio C.
Rocha, Miguel
dc.subject.por.fl_str_mv Evolutionary computing
Fermentation processes
Particle swarm optimization
Differential Evolution
Science & Technology
topic Evolutionary computing
Fermentation processes
Particle swarm optimization
Differential Evolution
Science & Technology
description The optimization of biotechnological processes is a complex problem that has been intensively studied in the past few years due to the economic impact of the products obtained from fermentations. In fed-batch processes, the goal is to find the optimal feeding trajectory that maximizes the final productivity. Several methods, including Evolutionary Algorithms (EAs) have been applied to this task in a number of different fermentation processes. This paper performs an experimental comparison between Particle Swarm Optimization, Differential Evolution and a real-valued EA in three distinct case studies, taken from previous work by the authors and literature, all considering the optimization of fed-batch fermentation processes.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/5385
url https://hdl.handle.net/1822/5385
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, Vancouver, Canada, 2006 – “IEEE Congress on Evolutionary Computation”. [S.l. : IEEE Press, 2006]. ISBN 0-7803-9487-9. p. 7371-7378.
0-7803-9487-9
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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