ESOEA: Ensemble of single objective evolutionary algorithms for many-objective optimization.
Monalisa PalSanghamitra BandyopadhyayPublished in: Swarm Evol. Comput. (2019)
Keyphrases
- evolutionary algorithm
- multi objective
- multiple objectives
- nsga ii
- multi objective optimization
- multi objective evolutionary algorithms
- optimization problems
- evolutionary computation
- fitness function
- differential evolution
- neural network
- simulated annealing
- ensemble methods
- ensemble learning
- differential evolution algorithm
- genetic algorithm
- genetic programming
- random forests
- majority voting
- evolutionary methods
- random forest
- feature selection
- pareto optimal
- learning algorithm
- benchmark datasets
- classifier ensemble
- initial population
- evolutionary search
- metaheuristic
- mutation operator
- ensemble classifier
- bi objective
- training set
- optimal solution
- evolutionary strategy