NSGA-II-DL: Metaheuristic Optimal Feature Selection With Deep Learning Framework for HER2 Classification in Breast Cancer.
Tarik Ahmed RashidJafar MajidpourRajermani ThinakaranMalathy BatumalayDeshinta Arrova DewiBryar A. HassanHabibollah DadgarHossein ArabiPublished in: IEEE Access (2024)
Keyphrases
- breast cancer
- metaheuristic
- feature selection
- deep learning
- optimal solution
- scatter search
- optimization problems
- unsupervised learning
- classification accuracy
- nsga ii
- support vector
- text classification
- machine learning
- supervised learning
- simulated annealing
- feature subset
- feature space
- feature extraction
- ant colony optimization
- multi objective optimization
- combinatorial optimization
- multi objective
- evolutionary algorithm
- test problems
- knn
- search algorithm
- multiobjective optimization
- feature set
- text categorization
- linear programming
- computational intelligence
- search space
- lower bound
- decision trees
- genetic algorithm