Particle swarm optimization for feature selection in classification: A multi-objective approach
… 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 …
for feature selection. The task is to generate a Pareto front of nondominated solutions (feature …
An improved particle swarm optimization for feature selection
Y Liu, G Wang, H Chen, H Dong, X Zhu… - Journal of Bionic …, 2011 - Elsevier
… 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 …
the feature selection problems, we propose an Improved Feature Selection (IFS) method by …
Particle swarm optimization for parameter determination and feature selection of support vector machines
… 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 …
for the optimal parameter values for SVM to obtain a subset of beneficial features. This optimal …
Feature selection based on rough sets and particle swarm optimization
… 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 …
In this article we propose a new feature selection mechanism, where one investigates how …
Improved salp swarm algorithm based on particle swarm optimization for feature selection
… 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 …
optimization (PSO) to make an alternative hybrid swarm algorithm. Where, this integration adds …
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
… 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 …
… performance than using all features and traditional/existing feature selection methods. In …
A survey on particle swarm optimization in feature selection
V Kothari, J Anuradha, S Shah, P Mittal - International Conference on …, 2011 - Springer
… 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. …
make the selection process more … of PSO based and modified algorithm on feature selection. …
Multiobjective particle swarm optimization for feature selection with fuzzy cost
Y Hu, Y Zhang, D Gong - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
… 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 …
swarm optimization, called PSOMOFS, is studied in this article. The proposed method …
Multi-objective particle swarm optimization approach for cost-based feature selection in classification
Y Zhang, D Gong, J Cheng - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
… 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 …
PC Wang, “Particle swarm optimization for feature selection with application in obstructive …
Feature selection based on hybridization of genetic algorithm and particle swarm optimization
P Ghamisi, JA Benediktsson - IEEE Geoscience and remote …, 2014 - ieeexplore.ieee.org
… 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 …
techniques and to take the advantage of their strength, a new feature selection approach is …
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