Guilherme Ferreira Gomes

TL;DR: The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems that employs terms as root velocity and pollination providing robustness.

TL;DR: The use of computational and intelligent techniques for structural monitoring in the form of a review with emphasis on composite materials is discussed, to help engineers and researchers find a starting point in developing a better solution to their specific structural monitoring problems.

TL;DR: In this article, the authors discuss the use of optimization algorithms and Artificial Neural Networks (ANN) for structural monitoring in the form of a brief review, which aims to help engineers and researchers find a better alternative to their specific structural monitoring problems.

TL;DR: An unprecedented metaheuristic algorithm was created inspired by the physical phenomenon of radial intra-cloud lightning and Lichtenberg figures, successfully exploiting the fractal power and it is different from many in the literature as it is a hybrid algorithm composed of methods of search based on population and trajectory.

TL;DR: In this article, the authors deal with the manufacturing and testing of sandwich beams with carbon/epoxy composite skins and a honeycomb core filled with magnetorheological elastomer (MRE) in different proportions of magneto/elastomer.