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Traditional assessments of metaheuristics typically focus on performance metrics when solving benchmark problems, with limited attention to the underlying mechanisms that drive …
A segurança em ambientes costeiros impulsiona o desenvolvimento de métodos não invasivos de monitoramento. O DroneShark dataset é um conjunto de imagens aéreas capturadas por …
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O planejamento da manutenção de parques eólicos é uma tarefa complexa, uma vez que os aerogeradores estão expostos a condições ambientais adversas que podem acelerar o desgaste …
Swarm Intelligence (SI) metaheuristics have been extensively employed in optimisation, yet their social dynamics analysis has not been explored sufficiently. This paper addresses …
This paper aimed to investigate the potential of models to generate synthetic data to improve fake news detection. The research compares the results obtained from a real dataset, …
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 …