A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator.
Christos EmmanouilidisAndrew HunterJohn MacIntyrePublished in: CEC (2000)
Keyphrases
- crossover operator
- multi objective
- evolutionary algorithm
- genetic algorithm
- feature selection
- evolutionary computation
- nsga ii
- evolutionary optimization
- uniform design
- mutation operator
- fitness function
- multi objective optimization
- multiobjective optimization
- differential evolution
- optimization algorithm
- function optimization
- evolutionary strategy
- real coded genetic algorithms
- explore the search space
- genetic operators
- population diversity
- particle swarm optimization
- genetic search
- optimization problems
- genetic algorithm ga
- hybrid genetic algorithm
- constrained multi objective optimization problems
- simulated annealing
- genetic programming
- constrained optimization problems
- crossover and mutation operators
- multiple objectives
- traveling salesman problem
- estimation of distribution algorithms
- feature set
- multiobjective evolutionary algorithm
- premature convergence
- particle swarm optimization pso
- multi objective evolutionary algorithms
- bi objective
- neural network
- feature subset
- artificial neural networks
- classification accuracy
- test problems
- swarm intelligence
- selected features