Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks.
S. VimalManju KhariRubén González CrespoL. KalaivaniNilanjan DeyMadasamy KaliappanPublished in: Comput. Commun. (2020)
Keyphrases
- ant colony optimization
- multi objective
- cognitive radio networks
- learning algorithm
- particle swarm optimization
- spectrum sensing
- swarm intelligence
- bi objective
- multiobjective optimization
- genetic algorithm
- user centric
- metaheuristic
- cognitive radio
- ant colony
- evolutionary algorithm
- traveling salesman problem
- ant colony optimization algorithm
- optimization algorithm
- energy consumption
- multi objective optimization
- nature inspired
- optimization problems
- aco algorithm
- ant colony algorithm
- ant colonies
- aco algorithms
- objective function
- multiple objectives
- artificial ants
- machine learning
- wireless communication
- differential evolution
- wireless networks
- location information
- artificial immune system
- sensor nodes
- fitness function
- back propagation
- knapsack problem
- search space
- simulated annealing
- particle swarm optimization pso
- evolutionary computation
- pheromone trails
- computer simulation