PSO-GPU: accelerating particle swarm optimization in CUDA-based graphics processing units.
Daniel Leal SouzaGlauber Duarte MonteiroTiago Carvalho MartinsVictor Alexandrovich DmitrievOtávio Noura TeixeiraPublished in: GECCO (Companion) (2011)
Keyphrases
- particle swarm optimization
- graphics processing units
- compute unified device architecture
- gpu implementation
- pso algorithm
- general purpose
- particle swarm optimization pso
- graphics processors
- parallel implementation
- graphics hardware
- particle swarm optimization algorithm
- parallel computing
- inertia weight
- parallel computation
- cpu implementation
- parallel processing
- particle swarm optimizer
- multi objective
- particle swarm
- convergence speed
- differential evolution
- computing systems
- parallel programming
- swarm intelligence
- real time
- global optimization
- massively parallel
- floating point
- metaheuristic
- efficient implementation
- high performance computing
- shuffled frog leaping algorithm
- parallel algorithm
- ant colony optimization
- particle swarm optimisation
- processing units
- shared memory
- genetic algorithm
- optimization algorithm
- scientific computing
- fitness function
- gpu accelerated
- general purpose computing