A wrapper approach for feature selection based on swarm optimization algorithm inspired from the behavior of social-spiders.
Hossam M. ZawbaaEid EmaryAboul Ella HassanienBazil PârvPublished in: SoCPaR (2015)
Keyphrases
- optimization algorithm
- feature selection
- honey bee
- multi objective
- swarm intelligence
- social behavior
- particle swarm optimization pso
- differential evolution
- optimization method
- collective behavior
- foraging behavior
- human behavior
- particle swarm optimization
- social interaction
- global optima
- collective intelligence
- feature ranking
- particle swarm
- artificial bee colony
- evolutionary multi objective
- feature subset
- hybrid optimization algorithm
- wrapper feature selection
- social networks
- evolutionary algorithm
- social media
- text categorization
- optimization strategy
- feature space
- classification accuracy
- particle swarm optimisation
- support vector machine
- feature set
- social networking
- control parameters
- feature selection algorithms
- search space
- multi objective optimization
- genetic programming
- hybrid algorithm
- feature subset selection
- genetic algorithm ga
- harmony search
- particle swarm optimization algorithm
- machine learning