Tiago Silveira

• MS
• IT Specialist at Federal University of Alfenas

In the pallet building problem, we aim at loading a given set of items into one or more pallets, by satisfying specific constraints and minimizing the number of pallets used. In this paper, we address a practical case of this problem that originates from a real-world robotized application, subject to some non-trivial operational constraints. In pra...

We study a pallet building problem that originates from a case study in a company that produces robotized systems for freight transportation and logistics. We generalize the problem by including the concept of family of items, which allows us to consider specific constraints such as visibility and contiguity. We solve the problem with an algorithm...

In this paper, we study a pallet building problem that originates from a case study in a company that produces robotized systems for freight transportation and logistics. The problem takes into account well-known constraints, such as rotation and stackability, and other specific constraints such as visibility and contiguity among items belonging to...

This paper presents a strategy for joining the Paraconsistent Logic (PL) and Ant Colony Optimization (ACO). Due to the possibility to work with situations that are not included in the field of classical logic, PL allows for meta-heuristics of the ants more realistic decisions in choosing their paths that may be interesting in the optimization proce...

This work presents a new mechanism to reduce statistically the chances of the optimization process of nonlinear functions stagnating in local minima, using the meta-heuristic Particle Swarm Optimization. Such mechanism adopts a nonmonotonic way to control the particle inertia, which is one of the factors responsible for this movement during the opt...

Resumo Este trabalho apresenta um mecanismo que possibilita a redução das chances do processo de otimização de funções não lineares estacionarem em mínimos locais, ao utilizarem a meta-heurística Otimização por Enxame de Partículas (PSO). Tal mecanismo é uma forma não monotônica de controlar a inércia da partícula, que é um dos fatores responsáveis...

This work presents a mechanism to reduce the chances of the optimization process of nonlinear functions stagnating in local minima, using the meta-heuristic Particle Swarm Optimization. This mechanism is a non-monotonic way to control the particle inertia, which is one of the factors responsible for movement during the optimization process. The exp...