Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures.
Rochan Avlur VenkatZakaria OussalemArya Kumar BhattacharyaPublished in: CEC (2021)
Keyphrases
- differential evolution
- convolutional neural networks
- evolutionary algorithm
- optimization algorithm
- differential evolution algorithm
- heterogeneous computing
- convergence speed
- particle swarm optimization
- mutation operator
- genetic algorithm
- particle swarm optimization pso
- test functions
- graphics processing units
- graphics processors
- constrained optimization problems
- multi objective optimization
- optimization method
- evolutionary programming
- numerical optimization problems
- convolutional network
- evolution strategy
- hybrid algorithm
- global optimization problems
- training set
- gpu implementation
- real time
- solving global optimization problems
- parameter optimization
- crossover operator
- multi objective
- particle swarm
- artificial bee colony
- harmony search
- direct search
- artificial neural networks
- initial population
- parallel computing
- real coded
- nsga ii
- swarm intelligence
- evolutionary computation
- metaheuristic
- neural network