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

Bibliographic Details
Main Author: Peres, Fernando Augusto Junqueira
Publication Date: 2020
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/104286
Summary: 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:47:38Zoai:run.unl.pt:10362/104286Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:18:47.702036Repositórios 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 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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