Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices

In this paper we reformulate global optimization problems in terms of boundary value problems (BVP). This allows us to introduce a new class of optimization algorithms. Indeed, current optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems fo...

Descripción completa

Detalles Bibliográficos
Autores: Ivorra, Benjamín Pierre Paul, Hertzog, David E., Mohammadi, Bijan, Santiago, Juan G.
Tipo de recurso: artículo
Fecha de publicación:2006
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/51336
Acceso en línea:https://hdl.handle.net/20.500.14352/51336
Access Level:acceso abierto
Palabra clave:517.938
519.8
Shape optimization
Global optimization
Dynamical systems
Boundary value problem
Microfluidic mixers.
Ecuaciones diferenciales
Investigación operativa (Matemáticas)
1202.07 Ecuaciones en Diferencias
1207 Investigación Operativa
id ES_a7249ee35def2bc7572a50bf64647155
oai_identifier_str oai:docta.ucm.es:20.500.14352/51336
network_acronym_str ES
network_name_str España
repository_id_str
spelling Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devicesIvorra, Benjamín Pierre PaulHertzog, David E.Mohammadi, BijanSantiago, Juan G.517.938519.8Shape optimizationGlobal optimizationDynamical systemsBoundary value problemMicrofluidic mixers.Ecuaciones diferencialesInvestigación operativa (Matemáticas)1202.07 Ecuaciones en Diferencias1207 Investigación OperativaIn this paper we reformulate global optimization problems in terms of boundary value problems (BVP). This allows us to introduce a new class of optimization algorithms. Indeed, current optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems for differential equations, or systems of differential equations. Furthermore, in order to reduce computational time approximate state and sensitivity evaluations are introduced during optimization. Lastly, we demonstrated the efficacy of two algorithms, included in the former class, on two academic test cases and on the design of a fast microfluidic protein folding device. The aim of the latter design is to reduce mixing times of proteins to microsecond timescales. Results are compared with those obtained with a classical genetic algorithm.WileyUniversidad Complutense de Madrid20062006-04-0920062006-04-09journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/51336reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/513362026-06-02T12:44:21Z
dc.title.none.fl_str_mv Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
title Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
spellingShingle Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
Ivorra, Benjamín Pierre Paul
517.938
519.8
Shape optimization
Global optimization
Dynamical systems
Boundary value problem
Microfluidic mixers.
Ecuaciones diferenciales
Investigación operativa (Matemáticas)
1202.07 Ecuaciones en Diferencias
1207 Investigación Operativa
title_short Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
title_full Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
title_fullStr Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
title_full_unstemmed Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
title_sort Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
dc.creator.none.fl_str_mv Ivorra, Benjamín Pierre Paul
Hertzog, David E.
Mohammadi, Bijan
Santiago, Juan G.
author Ivorra, Benjamín Pierre Paul
author_facet Ivorra, Benjamín Pierre Paul
Hertzog, David E.
Mohammadi, Bijan
Santiago, Juan G.
author_role author
author2 Hertzog, David E.
Mohammadi, Bijan
Santiago, Juan G.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 517.938
519.8
Shape optimization
Global optimization
Dynamical systems
Boundary value problem
Microfluidic mixers.
Ecuaciones diferenciales
Investigación operativa (Matemáticas)
1202.07 Ecuaciones en Diferencias
1207 Investigación Operativa
topic 517.938
519.8
Shape optimization
Global optimization
Dynamical systems
Boundary value problem
Microfluidic mixers.
Ecuaciones diferenciales
Investigación operativa (Matemáticas)
1202.07 Ecuaciones en Diferencias
1207 Investigación Operativa
description In this paper we reformulate global optimization problems in terms of boundary value problems (BVP). This allows us to introduce a new class of optimization algorithms. Indeed, current optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems for differential equations, or systems of differential equations. Furthermore, in order to reduce computational time approximate state and sensitivity evaluations are introduced during optimization. Lastly, we demonstrated the efficacy of two algorithms, included in the former class, on two academic test cases and on the design of a fast microfluidic protein folding device. The aim of the latter design is to reduce mixing times of proteins to microsecond timescales. Results are compared with those obtained with a classical genetic algorithm.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-04-09
2006
2006-04-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/51336
url https://hdl.handle.net/20.500.14352/51336
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415754393190400
score 15,300719

Similares en LA Referencia