A Comparative Study of Evolutionary Algorithms with a New Penalty Based Fitness Function for Feature Subset Selection.
Atsushi KawamuraBasabi ChakrabortyPublished in: ACIIDS (1) (2017)
Keyphrases
- fitness function
- evolutionary algorithm
- feature subset selection
- penalty function
- genetic algorithm ga
- feature subset
- evolutionary computation
- multi objective
- optimization problems
- genetic programming
- differential evolution
- feature selection
- multi objective optimization
- constrained optimization problems
- genetic operators
- simulated annealing
- evolutionary search
- estimation of distribution algorithms
- selection algorithm
- genetic algorithm
- evolutionary strategy
- crossover operator
- selected features
- evolutionary process
- initial population
- evolution strategy
- crossover and mutation
- data sets
- neural network
- genetic algorithm is employed
- particle swarm optimisation
- differential evolution algorithm
- mutation operator
- nsga ii
- optimization method
- feature space
- objective function
- hybrid algorithm
- knapsack problem
- particle swarm optimization pso
- optimization algorithm
- particle swarm optimization
- binary particle swarm optimization