http://repositorio.ufc.br/handle/riufc/11042 2026-04-10T12:46:11Z http://repositorio.ufc.br/handle/riufc/21182 Título: A Multiobjective metaheuristic approach for the integrated vehicle and crew scheduling Autor(es): Prata, Bruno de Athayde Abstract: The integrated vehicle and crew scheduling problem is a hard Combinatorial Optimization problem widely studied over the years. Taking into consideration the range of variables related to the planning process of vehicles and drivers, there are several practical characteristics of the problem that are not reflected in the solutions generated computationally. Among these characteristics, that were not found in the consulted literature, the most important is the existence of multiple objectives. This paper aims at presenting a multiobjective approach for the integrated vehicle and crew scheduling problem based on Genetic Algorithms. A case study in Portimão (Portugal) is presented and discussed. Were applied: (i) a Pareto Envelope-based Selection Algorithm II (PESA-II), and (ii) a hybridization between PESA-II and Integer Programming, which were summarized in a table. These results indicate that this new approach has a considerable potential for achieving significant gains in terms of operation costs and reduction in planning times. Tipo: Artigo de Periódico 2016-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/21181 Título: Integrated optimization model for location and sizing of offshore platforms and location of oil wells Autor(es): Rodrigues, H. W. L.; Prata, Bruno de Athayde; Bonates, T. O. Abstract: The oil field development is a hard and critical task that de fines the main procedures to be performed during the oil field productive life. Given the complexity of this planning phase, methods to support decision making have been developed to assist in the proper application of high investments. This paper aims to report a 0 – 1 Linear Programming Model which minimizes the development costs of a given oil field as a whole. The model seeks to de fine: the number, location and capacities of production platforms; number and positions of wells; points where manifolds must be installed; interconnection between platforms, manifolds and wells; and which sections of each well should be vertical or horizontal. The model was named Multicapacitated Platforms and Wells Location Problem (MPWLP). Two different scenarios were tested and the results were consistent with reality, computationally feasible and pre- sented innovations compared to models found in literature Tipo: Artigo de Periódico 2016-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/21180 Título: Modelo de roteirização para a distribuição de materiais de terraplenagem baseado em programação inteira Autor(es): Falcão, Viviane Adriano; Prata, Bruno de Athayde; Nobre Júnior, Ernesto Ferreira Abstract: Some studies claim that for an overall savings in the construction, planners should develop a strategy to optimize resource utilization. In Earthworks one way to do this is to minimize the total distance traveled by trucks between the cut and fill areas in earthworks. There are many studies and papers that focus on the optimization of distribution of material between cut and fill areas, but few applied in real projects, none of them considered multiple equipment and neither did an analysis based on the distance between piles. This study aims to develop a mathematical programming model that minimizes the distance traveled by trucks in materials distribution of earthmoving activities. It was applied in case study the road works, which obtained allocating optimal to cut and fill areas in order to minimize the distance traveled by the trucks, and consequently, the optimum route to trucks. Comparing the model's result with the mass diagram it obtained a saving of 12% the distance. Tipo: Artigo de Periódico 2016-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/21179 Título: Um Algoritmo genético multiobjetivo para a programação integrada de veículos e tripulações Autor(es): Prata, Bruno de Athayde Abstract: The integrated vehicle and crew scheduling problem is a hard, widely studied Combinatorial Optimization problem over the years. Taking into consideration the range of variables related to the planning process of vehicles and drivers, there are several practical characteristics of the problem that are not reflected in the solutions generated computationally. The existing models focus on minimizing costs. However, other objectives must be considered as for example the reduction of meal breaks for the crews. This paper aims at presenting a multiobjective approach for the integrated vehicle and crew scheduling problem in public transport systems based on Genetic Algorithms. Computational results with real instances are presented and discussed. These results indicate that this new approach has a considerable potential for achieving significant gains in terms of operation costs and reduction in planning times. Tipo: Artigo de Periódico 2016-01-01T00:00:00Z