… However, most existing feature selection algorithms … particle swarm optimization (PSO)
for feature selection. The task is to generate a Pareto front of nondominated solutions (feature …

… scheduler that can monitor and control each sub-swarm using the rules. To further settle
the feature selection problems, we propose an Improved Feature Selection (IFS) method by …

… This study presents a particle swarm optimization-based approach, capable of searching
for the optimal parameter values for SVM to obtain a subset of beneficial features. This optimal …

… We propose a new feature selection strategy based on rough sets and particle swarm …
In this article we propose a new feature selection mechanism, where one investigates how …

… Therefore, to avoid this limitation, in this paper, it is combined with the particle swarm
optimization (PSO) to make an alternative hybrid swarm algorithm. Where, this integration adds …

… a new PSO based feature selection approach to selecting a smaller number of features and
… performance than using all features and traditional/existing feature selection methods. In …

… Today we deal with the issues of feature selection on daily … intelligent dynamic swarm to
make the selection process more … of PSO based and modified algorithm on feature selection. …

… Focusing on the FS problem with fuzzy cost, a fuzzy multiobjective FS method with particle
swarm optimization, called PSOMOFS, is studied in this article. The proposed method …

… on binary particle swarm optimization for feature selection,” Appl. Soft Comput., vol. 11, no. …
PC Wang, “Particle swarm optimization for feature selection with application in obstructive …

… In this letter, to address the main shortcomings of GAand PSO-based feature selection
techniques and to take the advantage of their strength, a new feature selection approach is …