DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture.
Weihang ZhuAshraf YaseenYaohang LiPublished in: New Gener. Comput. (2011)
Keyphrases
- optimization method
- multi objective
- optimization algorithm
- evolutionary algorithm
- real time
- particle swarm
- genetic algorithm
- differential evolution
- heterogeneous computing
- optimization process
- optimization methods
- global optimum
- gpu implementation
- optimization procedure
- graphic processing unit
- simulated annealing
- particle swarm optimization
- graphics hardware
- multi objective optimization
- graphics processors
- parallel computation
- nonlinear optimization
- parallel computing
- nelder mead simplex
- multiple objectives
- optimization strategy
- parallel processing
- metaheuristic
- objective function
- shared memory
- graphics processing units
- neural network
- parallel implementation
- convergence speed
- hybrid algorithm
- multi objective optimization problems
- neural network training
- feature space
- quasi newton
- search algorithm