Comparison between two FPGA implementations of the Particle Swarm Optimization algorithm for high-performance embedded applications.
Daniel M. MuñozCarlos H. LlanosLeandro dos Santos CoelhoMauricio Ayala-RincónPublished in: BIC-TA (2010)
Keyphrases
- particle swarm optimization algorithm
- particle swarm optimization
- convergence speed
- global search
- particle swarm
- embedded processors
- multilevel thresholding
- inertia weight
- low cost
- artificial bee colony algorithm
- software implementation
- single chip
- wavelet neural network
- pso algorithm
- estimation of distribution algorithms
- high speed
- neural network
- general purpose processors
- embedded systems
- efficient implementation
- search space