A multi-objective Artificial Bee Colony algorithm for cost-sensitive subset selection.
Emrah HancerPublished in: Neural Comput. Appl. (2022)
Keyphrases
- subset selection
- cost sensitive
- artificial bee colony algorithm
- multi objective
- artificial bee colony
- optimization algorithm
- evolutionary algorithm
- particle swarm optimization
- misclassification costs
- multiobjective optimization
- cost sensitive learning
- hybrid algorithm
- feature selection
- multi objective optimization
- particle swarm optimization algorithm
- multi class
- cost sensitive classification
- active learning
- objective function
- class distribution
- genetic algorithm
- naive bayes
- hill climbing
- multiple objectives
- nsga ii
- motif discovery
- differential evolution
- pareto optimal
- support vector machine
- genetic programming
- optimization problems
- machine learning
- pso algorithm
- scheduling problem
- simulated annealing
- text categorization
- tabu search
- evolutionary computation
- particle swarm optimization pso