Mateus Boiani

• PhD(c) in Computer Science
• Federal University of Rio Grande do Sul

Access to acute stroke care varies widely worldwide, with significant gaps in low- and middle-income countries and in rural areas. Ensuring equitable access requires a standardized approach to identify current coverage and potential sites for new stroke centers. In the U.S., stroke center distribution is inconsistent across states, with around 77%...

Background Global access to acute stroke treatment is variable worldwide, with notable gaps in low and middle-income countries (LMIC), especially in rural areas. Ensuring a standardized method for pinpointing the existing regional coverage and proposing potential sites for new stroke centers is essential to change this scenario. Aims To create and...

Effectiveness analysis on population-based meta-heuristics can be a longstanding task, specifically when dealing with large populations. This makes this class of algorithms computationally expensive. However, its intrinsic parallel characteristic accepts significant reductions in experimentation time using parallel computing, making it possible to...

In Evolutionary Algorithms, population diversity is a determinant factor for the quality of the final solutions. Due to diverse problem characteristics, many techniques face difficulties and converge prematurely in local optima. The maintenance of diversity allows the algorithm to explore the search space and efficiently achieve better results. Par...

One of the most challenging problems in Bioinformatics is the finding of a protein conformation and it is known as the Protein Structure Prediction (PSP) problem. The main feature present in the AB off-lattice model is the use of polarity as the main driving force to guide the optimization process. The present work proposes an adaptive evolutionary...

A função que uma proteína exerce está diretamente relacionada com a sua estrutura tridimensional. Porém, para a maior parte das proteínas atualmente sequenciadas ainda não se conhece sua forma estrutural nativa. Este artigo propõe a utilização do algoritmo de Evolução Diferencial (DE) desenvolvido na plataforma NVIDIA CUDA aplicado ao modelo 3D AB...

The Protein Structure Prediction (PSP) problem is one of the most significant open problems in bioinformatics. In the AB off-lattice model, the protein sequence is labeled as ‘A’ or ‘B’ according to the amino acid classification of being hydrophobic or hydrophilic. It has been widely explored in the literature because polarity is one of the main dr...

The main difficulty encountered by population-based approaches in multimodal problems is their loss of diversity while converging to an optimum. Also, it is known that parameters play a big role in the performance of metaheuristics. Hence, in this paper two variations of the NCDE algorithm for multimodal optimization are proposed. The first version...

Population-based search algorithms, such as the Differential Evolution approach, evolve a pool of candidate solutions during the optimization process and are suitable for massively parallel architectures promoted by the use of GPUs. Hence, this paper proposes a GPU-based self-adaptive Differential Evolution employing the jDE mechanism to control it...

Este artigo propõe uma abordagem para realizar agrupamento de dados utilizando o Algoritmo de Busca por Organismos Simbióticos (SOS) em uma arquitetura Hadoop MapReduce, chamado de MRCSOS. O algoritmo SOS é responsável pela exploração do espaço de busca enquanto a arquitetura Hadoop provê escalabilidade através do paralelismo. A principal contribui...