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The sanitation sector of São Paulo is responsible for a significant share of the brazilian market and the private sector participation in this segment has gained strength in recent years. To address the needs of the population and also give returns to shareholders, the sanitation company is constantly seeking to improve their results. Increase sales have become a major challenge for the managers of...
Competitiveness, market share, professional development and personal support to community action, health, culture, education and sport, are linked to a promising new market. Coupled with the development of organizations, the pressure to achieve goals more audacious, employees increasingly overwhelmed, they end up buying some disturbance in the health-related type of labor activity. The objective of...
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for technological improvements in the Routing performance in metropolitan areas. The purpose of this paper is to present computational evidences that Artificial Neural Network ANN could...
Evolutionary computing has proven particularly useful in solving complex problems involving combinatorial optimization. These are problems with various parameters or characteristics that need to be combined in the search for optimal solutions. This project consists of the study, development and implementation of solution methods based on evolutionary computation, specifically in genetic algorithms,...
In recent years the behavior of the parcel delivery market has undergone significant changes influenced by increased competitiveness, concern with the environment, electronic commerce, the increase in the number of customers, reducing the size of applications; expansion of the collection sites and distribution, increasing the flow of urban vehicles, increasing fleet; complexity of the operations of...
This project consists of the study and development of solution methods based on evolutionary computation to solving Constraint Satisfaction Problems (CSPs). The CSPs consists of a variety of combinatorial optimization problems. In particular, is proposed the development of a genetic algorithm for solving the two-dimensional cutting problem, which consists in to determine an arrangement of pieces to...
There is an increasing tendency in the worldwide automotive market to consume polymeric materials, because of their processability and low cost in high volumes. This disposition gives rise to search for technological solutions in order to improve the material performance, even on the project product stage. The purpose of this paper is to predict the cycle time of an injected part according to its...
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