J. M. M. Sousa

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The scheduling of logistic processes modeled by birth-and-death processes is a combinatorial problem. We consider here the problem of dynamic assignment of components to orders. In this paper, a distributed algorithm based on ant colonies is proposed to optimize this assignment. The ant-agents jointly test several different combinations and choose the(More)
This paper addresses the problem of optimizing the scheduling of a production system, using a decentralized heuristic in a parallel machine environment. The proposed algorithm extends the use of the traveling salesman problem for scheduling in single machine models to a multiple machine problem. Here, the algorithm is applied to a complex production(More)
Two new species of tarsonemid mites, Daidalotarsonemus annonae sp. nov. and Fungitarsonemus setillus sp. nov. found on Annonaceae leaves collected in northeastern Brazil are described and illustrated. Females of D. annonae are similar to those of D. serissae, but differ by having setae c2 setiform, and seta 1a distant from apodeme 1. F. setillus is similar(More)
Aerosol dispersion and deposition inside an idealized mouth-throat has been numerically simulated using a stochastic Lagrangian model accounting for Brownian motion and particle-wall interaction. Delivery of nanoparticles to the lungs is extremely difficult, mainly due to their low inertia, and for this reason they are often loaded into larger carrier(More)
In this paper, evolving takagi-sugeno fuzzy models are applied to model a dynamic system, e.g. a six degrees of freedom robotic manipulator. In recent years the dynamic model was obtained off-line, but when the robot performs tasks away from the modeled workspace, it fails in achieve the goal. Then, the models must evolve when the robot moves to a(More)
In previous papers, we have shown that the Ant Colony Optimization (ACO) algorithm could be used as a distributed scheduling strategy for logistic processes. The distributed framework allow us to easily introduce new features that can improve the scheduling methods. An example is a prediction mechanism, introduced in this paper. A statistical model of the(More)
This paper presents an identification procedure of a multivariable acoustic noise model, produced by a particular Electro-Mechanical Film (EMFi) actuator. This model will be integrated in an experimental setup for active noise control purposes. The obtained data represents a nonlinear dynamic system, which led to the use of nonlinear identification(More)