Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making

Detalhes bibliográficos
Autor(a) principal: Peres, Fernando Augusto Junqueira
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/104286
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
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spelling Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-makingMetaheuristicMetaheuristic FrameworkMachine LearningSoftware FrameworkProblem-solvingCombinatorial Optimization ProblemProblem formulationDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsThe optimization of real-world problems is a challenging activity, difficult to be formulated and solved. Metaheuristics are recognized as powerful "optimization problem" solvers, and sometimes they are the only feasible approach. Metaheuristics are general heuristic that works in a meta-level - which can be applied to a wide variety of optimization problems. Metaheuristics can be accommodated to include problem specificities. However, these inclusions require a set of efforts to adapt the metaheuristic algorithm for a determined problem. In this master thesis, it will be researched and explored alternatives to develop a metaheuristic framework. Consequently, putting the metaheuristics on a higher level of abstraction. With this in mind, the framework is an approach to eliminate the necessity to adapt the metaheuristic to the problem peculiarities. Moreover, it also considers defining a standardization for problem formulation and object creation.Castelli, MauroVanneschi, LeonardoRUNPeres, Fernando Augusto Junqueira2022-07-27T00:30:29Z2020-07-292020-07-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/104286TID:202519279enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:49:49Zoai:run.unl.pt:10362/104286Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:12.140856Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
title Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
spellingShingle Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
Peres, Fernando Augusto Junqueira
Metaheuristic
Metaheuristic Framework
Machine Learning
Software Framework
Problem-solving
Combinatorial Optimization Problem
Problem formulation
title_short Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
title_full Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
title_fullStr Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
title_full_unstemmed Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
title_sort Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
author Peres, Fernando Augusto Junqueira
author_facet Peres, Fernando Augusto Junqueira
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
Vanneschi, Leonardo
RUN
dc.contributor.author.fl_str_mv Peres, Fernando Augusto Junqueira
dc.subject.por.fl_str_mv Metaheuristic
Metaheuristic Framework
Machine Learning
Software Framework
Problem-solving
Combinatorial Optimization Problem
Problem formulation
topic Metaheuristic
Metaheuristic Framework
Machine Learning
Software Framework
Problem-solving
Combinatorial Optimization Problem
Problem formulation
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
publishDate 2020
dc.date.none.fl_str_mv 2020-07-29
2020-07-29T00:00:00Z
2022-07-27T00:30:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/104286
TID:202519279
url http://hdl.handle.net/10362/104286
identifier_str_mv TID:202519279
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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