A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption.
J. R. S. IruelaLuis G. Baca RuízDavid Criado-RamónMaria del Carmen PegalajarManuel I. CapelPublished in: Appl. Soft Comput. (2024)
Keyphrases
- multi objective optimization
- energy consumption
- particle swarm optimization
- pso algorithm
- multi objective
- evolutionary algorithm
- gpu accelerated
- particle swarm optimization pso
- wireless sensor networks
- differential evolution
- energy efficient
- energy saving
- global optimization
- data transmission
- sensor networks
- convergence speed
- artificial neural networks to predict
- routing protocol
- particle swarm
- base station
- energy efficiency
- premature convergence
- swarm intelligence
- nsga ii
- routing algorithm
- genetic algorithm
- neural network
- data center
- sensor nodes
- particle swarm optimisation
- optimization algorithm
- evolution strategy
- fitness function