2025-04-092025-04-092020-02-20BATISTA, Vitor dos Santos. Análise de Desempenho de Meta-heurísticas Aplicadas ao Problema de Restauração de Redes de Distribuição. Orientador: Ubiratan Holanda Bezerra. 2020. 75 f. Dissertação (Mestrado em Engenharia Elétrica) - Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2020. Disponível em:https://repositorio.ufpa.br/jspui/handle/2011/17182 . Acesso em:.https://repositorio.ufpa.br/jspui/handle/2011/17182In the last years, several meta-heuristics have been used to solve the problem of restoring distribution systems efficiently. Among them, the Multiobjective Evolutionary Algorithm with Node-depth encoding (MEAN) stands out, which together with Node-Depth Encoding (NDE) makes a great advance in the field. All this because the NDE makes changes on the topology of the distribution system without losing radiality and reestablishing the power supply for all disconnected loads after the fault. Due to the lack of exploration of other meta-heuristics that use NDE as a data structure, this work aims to evaluate a performance analysis comparing MEAN with three other meta-heuristics, Tabu Search, Artificial Bee Colony and Evolutionary Strategies. The analysis was performed in three distribution systems the84-bus, 119-bus and 135-bus.sAcesso AbertoAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/Restauração de Sistemas ElétricosMeta-heurísticasRepresentação Nó-ProfundidadeAnálise de DesempenhoElectric System RestorationMeta-heuristicsBroadband communication systemsNode-Depth EncodingPerformance AnalysisDissertaçãoCNPQ::ENGENHARIAS::ENGENHARIA ELETRICASISTEMAS ELÉTRICOS DE POTÊNCIASISTEMAS DE ENERGIA ELÉTRICA