A Kriging-Assisted Evolutionary Algorithm Using Feature Selection for Expensive Sparse Multi-Objective optimization.
Zheng TanHanding WangPublished in: CEC (2020)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- feature selection
- multi objective
- sparse pca
- differential evolution
- evolutionary computation
- optimization problems
- multi objective optimization problems
- genetic algorithm
- genetic programming
- simulated annealing
- hybrid evolutionary algorithm
- pareto optimal
- fitness function
- feature selection algorithms
- nsga ii
- multiple objectives
- selected features
- function optimization
- evolution strategy
- bi objective
- multi objective genetic algorithm
- optimization method
- optimization algorithm
- multi objective genetic algorithms
- evolutionary strategy
- crossover operator
- feature subset selection
- genetic operators
- mutation operator
- feature subset
- multi objective evolutionary algorithms
- feature set
- classification accuracy
- pareto optimal set
- feature space
- solving multi objective optimization problems
- pareto optimal solutions
- multi objective problems
- complex optimization problems