An exploratory study on new perspectives in combinatorial problems

Version 2.0
Mendoza Villalba, Mario Alberto; Fiorotto, Diego Jacinto; Rampazzo, Priscila Cristina Berbert, 2026, "An exploratory study on new perspectives in combinatorial problems", https://doi.org/10.25824/redu/BD8JY2, Repositório de Dados de Pesquisa da Unicamp , V2
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Description
Foram utilizados dois conjuntos de dados nesta dissertação, ambos voltados à avaliação de métodos de otimização combinatória. O primeiro conjunto refere-se ao Problema do Caixeiro Viajante (TSP) e consiste nas instâncias para a comparação entre os modelos MTZ e o modelo proposto P-MTZ, considerando como métricas o tempo de execução e o GAP de otimalidade. Estas instâncias correspondem às matrizes de distâncias, calculadas usando os conjuntos de dados fornecidos pelo dataset TSPLIB (https://doi.org/10.1287/ijoc.3.4.376) O segundo conjunto de dados está associado ao Problema de Atribuição de Atraques (BAP) e contempla as instâncias para uma análise comparativa entre as meta-heurísticas Particle Swarm Optimization (PSO) e Escape Strategies Algorithm (ESSA), com foco no desempenho e na qualidade das soluções obtidas. As instâncias foram tomadas do trabalho de Cordeau et al 2025. (DOI: 10.1287/trsc.1050.0120) (2025-12-21)
Subject Engineering
Keyword Otimização combinatória, TSP, Problema do caixeiro viajante, BAP
Related Publication Reinelt, G. (1991). Tsplib - a traveling salesman problem library. ORSA Journal on Computing, 3(4), 376-384. doi: https://doi.org/10.1287/ijoc.3.4.376 doi: https://doi.org/10.1287/ijoc.3.4.376
Notes Algumas das instâncias do TSP são excessivamente pesadas para serem anexadas ao repositório. Nesses casos, as coordenadas dos nós podem ser obtidas diretamente da literatura por meio do link fornecido (URL: https://doi.org/10.1287/ijoc.3.4.376), sendo possível, a partir delas, construir as respectivas matrizes de distâncias.
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Instâncias para o BAP
MatricesPequeñas_Experimento_TSP.rar
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Published Jan 8, 2026
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Instâncias para o TSP, tomadas de CORDEAU, J.-F.; LAPORTE, G.; LEGATO, P.; MOCCIA, L. Models and tabu search heuristics for the berth-allocation problem. Transportation Science, v. 39, n. 4, p. 526Ű538, 2005. Cited 6 times on pages 21, 36, 38, 71, 73, and 90.
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