Reinaldo Gen Ichiro Arakaki | FATEC - São Jose dos Campos (original) (raw)

Papers by Reinaldo Gen Ichiro Arakaki

Research paper thumbnail of O Problema De Roteamento De Veículos e Algumas Metaheurísticas

Research paper thumbnail of A Constructive Genetic Algorithm for the Maximal Covering Location Problem

... 13 A Constructive Genetic Algorithm for the Maximal Covering Location Problem Reinaldo Gen Ic... more ... 13 A Constructive Genetic Algorithm for the Maximal Covering Location Problem Reinaldo Gen Ichiro Arakaki ∗ Luiz Antonio Nogueira Lorena ∗ ... Holland [5] outlined GAs and their mechanisms (schemata formation and propagation over generations). ...

Research paper thumbnail of Uma heurística de localização-alocação (HLA) para problemas de localização de facilidades

Produção, 2006

Neste trabalho, foi desenvolvida uma nova heurística de localização-alocação (HLA) para problemas... more Neste trabalho, foi desenvolvida uma nova heurística de localização-alocação (HLA) para problemas de localização de facilidades (facility). Em tais problemas a questão central é localizar um objeto ou mais objetos, que são chamados de facilidades, e minimizar o custo de localizar estas facilidades. A HLA foi aplicada a dois problemas: o Problema de Localização de Máxima Cobertura (PLMC) e o Problema das P-Medianas Capacitado (PPMC) com o intuito de uma possível integração a Sistemas de Informações Geográficas (SIG). A HLA baseia-se na formação de agrupamentos (clusters) e na possibilidade de melhorá-los (em relação a algum objetivo). Uma bateria de problemas testes foi escolhida para validar a HLA. Bons resultados foram encontrados para o PLMC para instâncias (instance) pequenas e grandes, e para o PPMC em instâncias pequenas. Conclui-se que a HLA, sendo uma heurística de simples implementação, é rápida e bastante eficiente, portanto, indicada para ser integrada aos SIG.

Research paper thumbnail of Uma heur��stica de localiza����o-aloca����o (HLA) para problemas de localiza����o de facilidades

Research paper thumbnail of A location-allocation heuristic (LAH) for facility location problems

Produção

This paper presents a new location-allocation heuristic (LAH) applied to facility location proble... more This paper presents a new location-allocation heuristic (LAH) applied to facility location problems. Such approach is based on clustering and its main objective is to find out a facility (object) in a space by minimizing a function. The LAH developed throughout this work was employed in two problems: the Maximal Covering Location Problem (MCLP) and the Capacitated p-Median Problems (CPMP) with the purpose of a possible integration to Geographic Information Systems (GIS). A set of test problems (instances) was chosen to validate the LAH. Good computational results were obtained for small and large-scale MCLP instances and for small CPMP instances. These results demonstrate that LAH, being quick and fast, may be usefully applicable to GIS.

Research paper thumbnail of Fuzzy Braunwald-modified chest pain assessment for Unstable Angina

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013

A chest pain assessment system for diagnosing the risk of Acute Myocardial Infarction for Unstabl... more A chest pain assessment system for diagnosing the risk of Acute Myocardial Infarction for Unstable Angina based on the fuzzy logic and a modified Braunwald risk classification is proposed in this paper. While the fuzzy logic allows dealing with both the uncertainty and the imprecision in information, the risk chest pain evaluation is carried out by the symptom severity diagnosis derived from the Braunwald classification. This paper extends previous approach by using classes very low, low, medium, high, and very high, instead of three classes (very) low, medium, (very) high, respectively, concerning to recent angina (RA), subacute angina at rest (SAR), and acute angina at rest (AAR), as originally envisaged. The resulting fuzzy mapping between the input variables and the Braunwaldmodified risk chest pain output variable enables smoothing the decision (diagnosing) surface. The proposed fuzzy decision support system may prove to be an auxiliary tool in the early diagnosis of Acute Myocardial Infarction to allow a smooth and gradual representation of the patient's clinical condition.

Research paper thumbnail of O Problema De Roteamento De Veículos e Algumas Metaheurísticas

Research paper thumbnail of A Constructive Genetic Algorithm for the Maximal Covering Location Problem

... 13 A Constructive Genetic Algorithm for the Maximal Covering Location Problem Reinaldo Gen Ic... more ... 13 A Constructive Genetic Algorithm for the Maximal Covering Location Problem Reinaldo Gen Ichiro Arakaki ∗ Luiz Antonio Nogueira Lorena ∗ ... Holland [5] outlined GAs and their mechanisms (schemata formation and propagation over generations). ...

Research paper thumbnail of Uma heurística de localização-alocação (HLA) para problemas de localização de facilidades

Produção, 2006

Neste trabalho, foi desenvolvida uma nova heurística de localização-alocação (HLA) para problemas... more Neste trabalho, foi desenvolvida uma nova heurística de localização-alocação (HLA) para problemas de localização de facilidades (facility). Em tais problemas a questão central é localizar um objeto ou mais objetos, que são chamados de facilidades, e minimizar o custo de localizar estas facilidades. A HLA foi aplicada a dois problemas: o Problema de Localização de Máxima Cobertura (PLMC) e o Problema das P-Medianas Capacitado (PPMC) com o intuito de uma possível integração a Sistemas de Informações Geográficas (SIG). A HLA baseia-se na formação de agrupamentos (clusters) e na possibilidade de melhorá-los (em relação a algum objetivo). Uma bateria de problemas testes foi escolhida para validar a HLA. Bons resultados foram encontrados para o PLMC para instâncias (instance) pequenas e grandes, e para o PPMC em instâncias pequenas. Conclui-se que a HLA, sendo uma heurística de simples implementação, é rápida e bastante eficiente, portanto, indicada para ser integrada aos SIG.

Research paper thumbnail of Uma heur��stica de localiza����o-aloca����o (HLA) para problemas de localiza����o de facilidades

Research paper thumbnail of A location-allocation heuristic (LAH) for facility location problems

Produção

This paper presents a new location-allocation heuristic (LAH) applied to facility location proble... more This paper presents a new location-allocation heuristic (LAH) applied to facility location problems. Such approach is based on clustering and its main objective is to find out a facility (object) in a space by minimizing a function. The LAH developed throughout this work was employed in two problems: the Maximal Covering Location Problem (MCLP) and the Capacitated p-Median Problems (CPMP) with the purpose of a possible integration to Geographic Information Systems (GIS). A set of test problems (instances) was chosen to validate the LAH. Good computational results were obtained for small and large-scale MCLP instances and for small CPMP instances. These results demonstrate that LAH, being quick and fast, may be usefully applicable to GIS.

Research paper thumbnail of Fuzzy Braunwald-modified chest pain assessment for Unstable Angina

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013

A chest pain assessment system for diagnosing the risk of Acute Myocardial Infarction for Unstabl... more A chest pain assessment system for diagnosing the risk of Acute Myocardial Infarction for Unstable Angina based on the fuzzy logic and a modified Braunwald risk classification is proposed in this paper. While the fuzzy logic allows dealing with both the uncertainty and the imprecision in information, the risk chest pain evaluation is carried out by the symptom severity diagnosis derived from the Braunwald classification. This paper extends previous approach by using classes very low, low, medium, high, and very high, instead of three classes (very) low, medium, (very) high, respectively, concerning to recent angina (RA), subacute angina at rest (SAR), and acute angina at rest (AAR), as originally envisaged. The resulting fuzzy mapping between the input variables and the Braunwaldmodified risk chest pain output variable enables smoothing the decision (diagnosing) surface. The proposed fuzzy decision support system may prove to be an auxiliary tool in the early diagnosis of Acute Myocardial Infarction to allow a smooth and gradual representation of the patient's clinical condition.