A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA.
Fábio FabrisRenato A. KrohlingPublished in: Expert Syst. Appl. (2012)
Keyphrases
- min max
- differential evolution algorithm
- evolutionary algorithm
- optimization problems
- compute unified device architecture
- differential evolution
- combinatorial optimization
- global numerical optimization
- parallel implementation
- traveling salesman problem
- gpu implementation
- control parameters
- graphics hardware
- parallel algorithm
- gpu accelerated
- graphics processors
- parallel computing
- evolutionary computation
- graphics processing units
- general purpose
- parallel computation
- metaheuristic
- scale factor
- optimization methods
- multi objective
- multi objective optimization
- shared memory
- real time
- simulated annealing
- cost function
- genetic algorithm
- particle swarm
- convergence speed
- parallel processing
- initial population
- particle swarm optimization
- genetic programming
- nsga ii
- fitness function
- artificial neural networks