A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid).
P. ShunmugapriyaS. KanmaniPublished in: Swarm Evol. Comput. (2017)
Keyphrases
- hybrid algorithm
- swarm intelligence
- ant colony optimization
- imperialist competitive algorithm
- hybrid optimization algorithm
- feature selection and classification
- particle swarm optimization
- particle swarm optimization pso
- foraging behavior
- artificial bee colony algorithm
- global optimization
- ant colony
- optimization algorithm
- particle swarm
- ant colonies
- pso algorithm
- artificial ants
- multiobjective optimization
- artificial bee colony
- differential evolution
- optimization method
- feature selection
- metaheuristic
- multi objective
- ant colony algorithm
- genetic algorithm
- simulated annealing
- nature inspired
- standard test problems
- genetic algorithm ga
- optimization problems
- aco algorithm
- high dimensionality
- pheromone trails
- k means
- tabu search
- evolutionary algorithm
- evolutionary computation
- particle swarm optimisation
- particle swarm optimization algorithm
- combinatorial optimization
- neural network
- lower bound
- selected features
- feature space
- optimal solution
- biogeography based optimization