Floating search methods in feature selection
Pattern Recognition Letters
Regularization theory and neural networks architectures
Neural Computation
Dimension reduction by local principal component analysis
Neural Computation
Ant algorithms for discrete optimization
Artificial Life
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Feature selection with neural networks
Pattern Recognition Letters
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
Benefitting from the variables that variable selection discards
The Journal of Machine Learning Research
Variable selection using svm based criteria
The Journal of Machine Learning Research
Overfitting in making comparisons between variable selection methods
The Journal of Machine Learning Research
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Randomized Variable Elimination
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Random subspace method for multivariate feature selection
Pattern Recognition Letters
Feature selection based on rough sets and particle swarm optimization
Pattern Recognition Letters
A hybrid approach for feature subset selection using neural networks and ant colony optimization
Expert Systems with Applications: An International Journal
A hybrid genetic algorithm for feature selection wrapper based on mutual information
Pattern Recognition Letters
An efficient ant colony optimization approach to attribute reduction in rough set theory
Pattern Recognition Letters
Text feature selection using ant colony optimization
Expert Systems with Applications: An International Journal
An Efficient Feature Selection Using Ant Colony Optimization Algorithm
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Enhanced feature selection algorithm using Ant Colony Optimization and fuzzy memberships
BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
The ANNIGMA-wrapper approach to fast feature selection for neuralnets
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic programming for simultaneous feature selection and classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Neural-network feature selector
IEEE Transactions on Neural Networks
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Modified cascade-correlation learning for classification
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Fast orthogonal forward selection algorithm for feature subset selection
IEEE Transactions on Neural Networks
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
IEEE Transactions on Neural Networks
Feature selection in MLPs and SVMs based on maximum output information
IEEE Transactions on Neural Networks
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Using mutual information for selecting features in supervised neural net learning
IEEE Transactions on Neural Networks
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
Expert Systems with Applications: An International Journal
Feature subset selection Filter-Wrapper based on low quality data
Expert Systems with Applications: An International Journal
Hybridising harmony search with a Markov blanket for gene selection problems
Information Sciences: an International Journal
Multi-satellite control resource scheduling based on ant colony optimization
Expert Systems with Applications: An International Journal
Feature subset selection using improved binary gravitational search algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 12.06 |
In this paper, we propose a new hybrid ant colony optimization (ACO) algorithm for feature selection (FS), called ACOFS, using a neural network. A key aspect of this algorithm is the selection of a subset of salient features of reduced size. ACOFS uses a hybrid search technique that combines the advantages of wrapper and filter approaches. In order to facilitate such a hybrid search, we designed new sets of rules for pheromone update and heuristic information measurement. On the other hand, the ants are guided in correct directions while constructing graph (subset) paths using a bounded scheme in each and every step in the algorithm. The above combinations ultimately not only provide an effective balance between exploration and exploitation of ants in the search, but also intensify the global search capability of ACO for a high-quality solution in FS. We evaluate the performance of ACOFS on eight benchmark classification datasets and one gene expression dataset, which have dimensions varying from 9 to 2000. Extensive experiments were conducted to ascertain how AOCFS works in FS tasks. We also compared the performance of ACOFS with the results obtained from seven existing well-known FS algorithms. The comparison details show that ACOFS has a remarkable ability to generate reduced-size subsets of salient features while yielding significant classification accuracy.