Tuning Evolutionary Algorithms in High Dimensional Classification Problems (Extended Abstract).
Laura Maria CannasNicoletta DessìBarbara PesPublished in: SEBD (2010)
Keyphrases
- extended abstract
- evolutionary algorithm
- high dimensional
- multi objective
- optimization problems
- evolutionary computation
- differential evolution
- simulated annealing
- multi objective optimization
- genetic programming
- fitness function
- evolution strategy
- high dimensionality
- low dimensional
- feature space
- differential evolution algorithm
- high dimensional problems
- similarity search
- dimensionality reduction
- nearest neighbor
- genetic algorithm
- sparse data
- evolutionary process
- variable selection
- high dimensional data
- constrained optimization problems
- initial population
- mutation operator
- nsga ii
- evolutionary methods
- parameter settings
- parameter space
- multi dimensional
- manifold learning
- crossover operator
- metric space
- noisy data
- microarray data
- particle swarm optimization pso
- kernel function
- high dimension
- evolutionary search
- computational intelligence
- tuning parameters
- data points