NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction.
Aditya GuptaIshwari Singh Rajput GunjanVibha JainSoni ChaurasiaPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- metaheuristic
- scatter search
- feature selection
- optimization problems
- nsga ii
- genetic algorithm
- ant colony optimization
- simulated annealing
- evolutionary algorithm
- neural network
- computational intelligence
- multi objective
- multi objective optimization
- bi objective
- multi objective evolutionary algorithms
- genetic programming
- tabu search
- optimal solution
- routing problem
- pareto optimal
- multiobjective evolutionary algorithm