Proposta de uma metodologia para expans??o de Escolas P??blicas no Estado do Amazonas

Autor: Xavier, Clahildek Matos
Přispěvatelé: Costa Filho, C??cero Ferreira Fernandes, Costa, Marly Guimar??es Fernandes, Nakamura, Fabiola Guerra, Silva, Helder Cruz da, Pereira, Jos?? Raimundo Gomes, Bueno, Lu??s Fernando
Jazyk: portugalština
Rok vydání: 2020
Předmět:
Zdroj: Biblioteca Digital de Teses e Dissertações da UFAM
Universidade Federal do Amazonas (UFAM)
instacron:UFAM
Popis: Submitted by Clahildek Xavier (clahildek@gmail.com) on 2020-04-09T18:10:53Z No. of bitstreams: 4 Tese_Clahildek.pdf: 2434029 bytes, checksum: c8de260a437766617c52cff39f327930 (MD5) CARTADEENCAMINHAMENTOBDTD_Tese_Clahildek.pdf: 96174 bytes, checksum: dc09f9c9f81472aa86ebd620d42ee68e (MD5) Clahildek Xavier Ata Defesa_assinada.pdf: 497300 bytes, checksum: 42b8b312d9e0bbf1377d7a6954661162 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Rejected by PPGI Inform??tica (secretariappgi@icomp.ufam.edu.br), reason: A carta de encaminhamento apresenta o erro ".Erro! Autorefer??ncia de indicador n??o v??lida." Faz-se necess??rio a corre????o e a realiza????o de novo dep??sito. on 2020-04-13T14:13:02Z (GMT) Submitted by Clahildek Xavier (clahildek@gmail.com) on 2020-04-13T19:00:25Z No. of bitstreams: 4 Tese_Clahildek.pdf: 2434029 bytes, checksum: c8de260a437766617c52cff39f327930 (MD5) Clahildek Xavier Ata Defesa_assinada.pdf: 497300 bytes, checksum: 42b8b312d9e0bbf1377d7a6954661162 (MD5) CARTADEENCAMINHAMENTOBDTD_Tese_Clahildek.pdf: 97297 bytes, checksum: c8ee3afb9679f27e5b6c02c7109edf58 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Approved for entry into archive by PPGI Inform??tica (secretariappgi@icomp.ufam.edu.br) on 2020-04-13T20:32:31Z (GMT) No. of bitstreams: 4 Tese_Clahildek.pdf: 2434029 bytes, checksum: c8de260a437766617c52cff39f327930 (MD5) Clahildek Xavier Ata Defesa_assinada.pdf: 497300 bytes, checksum: 42b8b312d9e0bbf1377d7a6954661162 (MD5) CARTADEENCAMINHAMENTOBDTD_Tese_Clahildek.pdf: 97297 bytes, checksum: c8ee3afb9679f27e5b6c02c7109edf58 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Approved for entry into archive by Divis??o de Documenta????o/BC Biblioteca Central (ddbc@ufam.edu.br) on 2020-04-13T21:40:47Z (GMT) No. of bitstreams: 4 Tese_Clahildek.pdf: 2434029 bytes, checksum: c8de260a437766617c52cff39f327930 (MD5) Clahildek Xavier Ata Defesa_assinada.pdf: 497300 bytes, checksum: 42b8b312d9e0bbf1377d7a6954661162 (MD5) CARTADEENCAMINHAMENTOBDTD_Tese_Clahildek.pdf: 97297 bytes, checksum: c8ee3afb9679f27e5b6c02c7109edf58 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Made available in DSpace on 2020-04-13T21:40:47Z (GMT). No. of bitstreams: 4 Tese_Clahildek.pdf: 2434029 bytes, checksum: c8de260a437766617c52cff39f327930 (MD5) Clahildek Xavier Ata Defesa_assinada.pdf: 497300 bytes, checksum: 42b8b312d9e0bbf1377d7a6954661162 (MD5) CARTADEENCAMINHAMENTOBDTD_Tese_Clahildek.pdf: 97297 bytes, checksum: c8ee3afb9679f27e5b6c02c7109edf58 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2020-03-24 This study proposes determining optimal locations for expanding a higher education system by using populational and social criteria.With this aim, this work evaluates single objective location models in determining the optimal distribution of higher education facilities in Amazonas State, Brazil. Three optimization options are evaluated and made available to decision makers: 1) prioritize cities with a lower United Nation Human Development Index; 2) prioritize cities with a higher population; 3) favor both criteria. Also, the location must equalize student distribution between the regions of Amazonas State.With this aim, three discrete location models were evaluated: p-center model, p-median model, and p-dispersion model. The location models were designed using a Genetic Algorithm metaheuristic. A state-of-art implementation of the Genetic Algorithm that optimizes the solution and converge time was used. The expansions proposed here present lower mean values of United Nation Human Development Index compared with 0.619 from the existing distribution of campuses. The best results were obtained with the p-median model. Este estudo prop??e determinar localiza????es ??timas para a expans??o de um sistema de ensino superior usando crit??rios populacionais e sociais. Com esse objetivo, este trabalho avalia modelos de localiza????o de objetivo ??nico na determina????o da distribui????o ??tima de facilidades de ensino superior no estado do Amazonas, Brasil. Tr??s op????es de otimiza????o s??o avaliadas e disponibilizadas aos tomadores de decis??o: 1) priorizar cidades com baixo valor de ??ndice de Desenvolvimento Humano (IDH); 2) priorizar cidades com maior popula????o; 3) favorecer ambos os crit??rios. Al??m disso, a localiza????o deve igualar a distribui????o dos alunos entre as regi??es do Amazonas. Com esse objetivo, foram avaliados tr??s modelos discretos de localiza????o: modelo p-centro, modelo p-mediana e o modelo p-dispers??o. Os modelos de localiza????o foram projetados usando a meta heur??stica algoritmo gen??tico. Uma implementa????o avan??ada do algoritmo gen??tico que otimiza a solu????o e tempo de converg??ncia foi usada. As expans??es propostas aqui apresentam valores m??dios mais baixos de ??ndice de Desenvolvimento Humano em compara????o com 0,619 da distribui????o existente dos campi. Os melhores resultados foram obtidos com o modelo p-mediana.
Databáze: OpenAIRE
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