958 resultados para Resolução de problema


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Os quadrados mágicos, de um modo geral, são abordados como uma poderosa ferramenta pedagógica capaz de despertar e aprimorar o raciocínio lógico. São inúmeros os projectos que objectivam a realização de actividades lúdicas capazes de aprimorar capacidades humanas como o raciocínio lógico. Segundo [Leo05], na Alemanha, os quadrados mágicos chegam a ser referência nos manuais das escolas primárias. Contrariamente à maioria dos trabalhos em quadrados mágicos, a grande preocupação presente neste não foi propriamente explorar a potencialidade dos quadrados mágicos como utensílio dogmático no desenvolvimento de raciocínios. Neste trabalho a nossa atenção incidiu na resolução de um problema de combinatória proposto por Henry Dudeney, mais concretamente o “Enigma do Monge”. Foi desenvolvida uma estratégia própria para solucionar o respectivo enigma. Foram ainda analisadas outras questões inerentes ao mesmo problema. Verificámos ainda que as relações de simetria desempenham um papel preponderante, no sentido em que o seu conhecimento facilitou a resolução do problema. Contudo, e contrariamente ao que prevíamos, verificou-se que este problema estava fortemente relacionado com os quadrados mágicos. Mais, existem propriedades verificadas no enigma que são determinantes na construção de quadrados mágicos de ordem 3.

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This paper presents metaheuristic strategies based on the framework of evolutionary algorithms (Genetic and Memetic) with the addition of Technical Vocabulary Building for solving the Problem of Optimizing the Use of Multiple Mobile Units Recovery of Oil (MRO units). Because it is an NP-hard problem, a mathematical model is formulated for the problem, allowing the construction of test instances that are used to validate the evolutionary metaheuristics developed

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The Combinatorial Optimization is a basic area to companies who look for competitive advantages in the diverse productive sectors and the Assimetric Travelling Salesman Problem, which one classifies as one of the most important problems of this area, for being a problem of the NP-hard class and for possessing diverse practical applications, has increased interest of researchers in the development of metaheuristics each more efficient to assist in its resolution, as it is the case of Memetic Algorithms, which is a evolutionary algorithms that it is used of the genetic operation in combination with a local search procedure. This work explores the technique of Viral Infection in one Memetic Algorithms where the infection substitutes the mutation operator for obtaining a fast evolution or extinguishing of species (KANOH et al, 1996) providing a form of acceleration and improvement of the solution . For this it developed four variants of Viral Infection applied in the Memetic Algorithms for resolution of the Assimetric Travelling Salesman Problem where the agent and the virus pass for a symbiosis process which favored the attainment of a hybrid evolutionary algorithms and computational viable

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The present essay shows strategies of improvement in a well succeded evolutionary metaheuristic to solve the Asymmetric Traveling Salesman Problem. Such steps consist in a Memetic Algorithm projected mainly to this problem. Basically this improvement applied optimizing techniques known as Path-Relinking and Vocabulary Building. Furthermore, this last one has being used in two different ways, in order to evaluate the effects of the improvement on the evolutionary metaheuristic. These methods were implemented in C++ code and the experiments were done under instances at TSPLIB library, being possible to observe that the procedures purposed reached success on the tests done

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Pós-graduação em Engenharia Elétrica - FEIS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Educação Matemática - IGCE

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When I set out to attend degree in mathematics was because I believed that mathematics could be taught to students in a way closer to their daily lives, thereby making it a more attractive school discipline, gradually, eliminating its reputation of a difficult school subject. Then, during my observations in supervised, I realized that one of the greatest difficulties in mathematics was related with geometry, in which the concepts of area and perimeter were often confused. Using the methodological tool of problem solving, something to bring the concept to be developed and the cultural context in which the student is in, I developed some educational activities in which, using concrete materials, students were encouraged to construct their own knowledge about the concepts of area and perimeter. Moreover, such activities were designed to place the student as the center of attention in the classroom. The main objective of this work is to encourage and observe how this methodology, based on the solving problem process, can be used within the classroom, to better understand the concepts to be taught, always looking for improvement of the student learning

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In this paper we deal with the one-dimensional integer cutting stock problem, which consists of cutting a set of available objects in stock in order to produce ordered smaller items in such a way as to optimize a given objective function, which in this paper is composed of three different objectives: minimization of the number of objects to be cut (raw material), minimization of the number of different cutting patterns (setup time), minimization of the number of saw cycles (optimization of the saw productivity). For solving this complex problem we adopt a multiobjective approach in which we adapt, for the problem studied, a symbiotic genetic algorithm proposed in the literature. Some theoretical and computational results are presented.