QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection.
Souhila SadegLeila HamdadAmine Riad RemacheMehdi Nedjmeddine KarechKarima BenatchbaZineb HabbasPublished in: IWANN (2) (2019)
Keyphrases
- swarm optimization
- metaheuristic
- feature selection
- ant colony optimization
- reinforcement learning
- particle swarm optimization
- swarm intelligence
- particle swarm optimization pso
- simulated annealing
- pso algorithm
- optimization problems
- scatter search
- tabu search
- machine learning
- search space
- optimal solution
- vehicle routing problem
- path relinking
- optimization method
- combinatorial optimization
- genetic algorithm
- nature inspired
- solution space
- traveling salesman problem
- iterated local search
- global optimization
- hybrid algorithm
- ant colonies
- multi objective
- benchmark instances
- aco algorithm
- convergence speed
- particle swarm optimization algorithm
- function optimization
- differential evolution
- hybrid metaheuristic
- evolutionary algorithm
- feature subset
- particle swarm optimisation
- variable neighborhood search
- artificial neural networks
- set of benchmark instances
- premature convergence
- scheduling problem
- artificial intelligence
- learning algorithm