Earth Observation Satellites (EOSs) are designed to collect images of Earth’s surface for a wide range of applications, such as disaster response, environmental monitoring and resource management. With the increasing number of orbiting EOSs, efficient scheduling of satellite operations has become a critical challenge. To ensure effective use of these complex systems, it is essential to develop...
Derivative-free methods—also known as black-box or zero-order methods—are crucial when derivative information is unavailable or unreliable. We introduce a novel algorithm that, for nonsmooth convex objectives, achieves a worst-case complexity bound proportional to the inverse square of a specified accuracy tolerance—substantially improving over a previously developed method in the literature....
Monte Carlo tree search (MCTS) has shown significant success in game playing, achieving state-of-the-art results in many complex domains. While there are known applications in optimization, they often don't fully capitalize on the problem-specific knowledge available. This work addresses this gap by proposing adaptations of MCTS tailored for optimization problems. We focus on enhancing the...
Um {\em clutter\/} é um par ${\cal C} \equiv (V,E)$, onde $E$ (os elementos de $\Cl$) denota uma família de subconjuntos, de um conjunto não vazio e finito $V$ (os vértices de $\Cl$),
tal que nenhum dos elementos está contido noutro.
A teoria de clutters, outrora referida como {\em blocking\/} e {\em antiblocking\/} (Fulkerson'70), permite abordar, de modo elegante, questões diversas...
