Multiple sequence alignment is one of the most widely used techniques in bioinformatics for
discovering functional, structural, and evolutionary information of biological sequences …

This paper offers a survey of recent work on particle swarm classification (PSC), a promising
offshoot of particle swarm optimization (PSO), with the goal of positioning it in the overall …

The main limit of data mining algorithms is their inability to deal with the huge amount of
available data in a reasonable processing time. A solution of producing fast and accurate …

This paper describes a novel Particle Swarm Optimization (PSO)-based classification
algorithm with improved capabilities in comparison to several alternatives. The algorithm …

Growing big data has posed a great challenge for machine learning algorithms. To cope
with big data, the algorithm has to be both efficient and accurate. Although evolutionary …

Este trabalho apresenta um novo método para resolver o problema de classificação
multirrótulo, baseado no método de enxame de partículas, chamado Multi Label K-Nearest …

Abstract Particle Swarm Classification (PSC) is a derivative of Particle Swarm Optimization
(PSO) based on the retrieval of the best particle positions corresponding to the centroids of …

Multi-label classification learning first arose in the context of text categorization, where each
document may belong to several classes simultaneously and has attracted significant …

PSO has been proved as an effective supervised learning system in recent years, but it's not
an effective method for incremental learning problems. Aiming at the incremental learning …

Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …