Paper-Conference

Applying Reinforcement Learning to Combine Multiple Swarm-based Algorithms

Swarm intelligence is a very efficient field for the optimization of high-dimensional functions. Nevertheless, choosing the best swarm-based algorithm is still challenging because …

avatar
Rodrigo Lira

Volitive Grey Wolf Optimizer

Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to …

joao-paulo-f.-g.-da-silva

Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence

Swarm intelligence (SI) algorithms have become popular due to their self-learning characteristics and adaptability to external changes. They can find reasonable solutions to …

andre-a.-v.-escorel-ribeiro

INOVA ID RS: Desenvolvimento de um Sistema de Gestão de Identidade Federada Aderente ao Ecossistema de Inovação Rio Grande do Sul

O governo do estado do Rio Grande do Sul criou o programa INOVA RS com o propósito de fomentar a colaboração entre diversos atores do ecossistema de inovação gaúcho, visando …

avatar
Rodrigo Lira

Desenvolvimento de um Advergame para a Divulgação Institucional

Advergames são jogos criados para realizar publicidade. Através deles, os usuários emergem num mundo criado para realizar a propaganda de algum produto ou marca. Neste projeto foi …

fabio-julio

Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select PSO Communication Topology

A recent study catalogued hundreds of meta-heuristics proposed over the past three decades in Swarm Intelligence (SI) literature. This scenario makes it difficult for the …

avatar
Rodrigo Lira

Boolean Binary Grey Wolf Optimizer

Several binary swarm algorithms use the identical continuous proposal, adding a transfer function to mapping from continuous to binary space. It has been shown that binary …

avatar
Rodrigo Lira

Modelling the Social Interactions in Grey Wolf Optimizer

Swarm Intelligence has been successfully used for solving high-dimensional and multimodal optimization problems. However, the wide range of swarm-based techniques, operators, and …

avatar
Rodrigo Lira

Fishing for Interactions: A Network Science Approach to Modeling Fish School Search

Computational swarm intelligence effectively solves high-dimen-sional optimization problems because of its flexibility, robustness,and (low) computational cost. Despite these …

mariana-macedo

Construção de um Jogo Usando Robótica para a Formação de Habilidades de Programação em Crianças

Constant technological advances have made society face the need to acquire new skills, one of which is programming. At first, this activity was aimed only at computer …

william-teles-de-andrade-junior