Many swarm-based algorithms are proposed using different inspirations from nature with the fact that they perform better than older versions. At the same time, some can resemble …
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 …
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 …
Swarm intelligence (SI) algorithms have become popular due to their self-learning characteristics and adaptability to external changes. They can find reasonable solutions to …
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 …
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 …
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 …
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 …
Swarm Intelligence has been successfully used for solving high-dimensional and multimodal optimization problems. However, the wide range of swarm-based techniques, operators, and …
Computational swarm intelligence effectively solves high-dimen-sional optimization problems because of its flexibility, robustness,and (low) computational cost. Despite these …