Um estudo de técnicas da Inteligência Artificial aplicadas na distribuição de recursos em áreas geográficas

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: TELES, Ronneesley Moura lattes
Orientador(a): CARVALHO, Cedric Luiz de lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Mestrado em Ciência da Computação
Departamento: Ciências Exatas e da Terra - Ciências da Computação
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tde/511
Resumo: This paper studies a problem that is the distribution of resources in geographical areas. Many organizations, from taxis, to the military faces this problem in their daily operations. In essence, it tries to answer the question: What are the best places in which I place my assets in the geographic area X, according to a set of constraints Y? . To answer the question, we studied representation models of the problem, known techniques have been applied in Artificial Intelligence and Operations Research, such as: testing all combinations, greedy algorithms, heuristics and genetic algorithms. Algorithms were created and simulations were performed. Furthermore, Multiagent System was developed that implements one of algorithms developed. In evaluating the proposals made in this dissertation, it was considered the field of Electric Companies in the task of distributing vehicles in a city.