Differential evolution (DE) for multi-objective feature selection in classification.
Bing XueWenlong FuMengjie ZhangPublished in: GECCO (Companion) (2014)
Keyphrases
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- feature selection
- multi objective optimization
- particle swarm optimization
- multi objective optimization problems
- classification accuracy
- convergence speed
- differential evolution algorithm
- multi objective problems
- genetic algorithm
- particle swarm optimization pso
- support vector
- optimization method
- particle swarm
- artificial bee colony
- nsga ii
- parameter optimization
- machine learning
- support vector machine
- test functions
- constrained optimization problems
- evolutionary programming
- model selection
- function optimization problems
- multi objective evolutionary algorithms
- evolution strategy
- mutation operator
- optimization problems
- feature space
- pso algorithm
- multi objective genetic algorithms
- feature set
- real coded
- objective function
- genetic programming
- evolutionary strategy
- multiple objectives
- feature vectors
- feature subset
- simulated annealing
- direct search
- evolutionary computation
- global optimization problems
- fitness function
- numerical optimization problems
- control parameters
- numerical optimization
- hybrid algorithm
- solving global optimization problems