A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data
By Ahmed Ali Abdalla Esmin, Rodrigo Amador Coelho, Stan Matwin. Artificial Intelligence Review, 2013
319 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/e6b2646627d7289139c8d472233a5e9f17f509ba
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
Citations in the corpus
- Particle swarm optimization for hyper-parameter selection in deep neural networks (2017, background): “Albeit the simplicity and generality of PSO, it has been shown to be extremely eective in solving multiple tasks in many elds [11], and it has a big potential for the large-scale parallelization.”