Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem

Detalhes bibliográficos
Autor(a) principal: DANIEL LOPES CINALLI
Data de Publicação: 2017
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
id BRCRIS_d9d976608c89953ae136e4b46ddd8a31
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
title Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
spellingShingle Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
facility location problem
DANIEL LOPES CINALLI
title_short Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
title_full Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
title_fullStr Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
title_full_unstemmed Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
title_sort Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem
topic facility location problem
publishDate 2017
format doctoralThesis
author_role author
author DANIEL LOPES CINALLI
author_facet DANIEL LOPES CINALLI
dc.contributor.advisor1.fl_str_mv LUIS MARTI OROSA
ANA CRISTINA BICHARRA GARCIA
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5462583890910082
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
instname_str UNIVERSIDADE FEDERAL FLUMINENSE
dc.publisher.program.fl_str_mv COMPUTAÇÃO
dc.description.course.none.fl_txt_mv COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location ProblemIntegrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problemfacility location problem2017doctoralThesisauthorDANIEL LOPES CINALLILUIS MARTI OROSAhttp://lattes.cnpq.br/5462583890910082UNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSECOMPUTAÇÃOCOMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv CINALLI, DANIEL LOPES. Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem. 2017. Tese.
dc.identifier.citation.fl_str_mv CINALLI, DANIEL LOPES. Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem. 2017. Tese.
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