Parallel implementation of particle swarm optimization on FPGA
ALX Da Costa, CAD Silva, MF Torquato… - … on Circuits and …, 2019 - ieeexplore.ieee.org
This brief proposes a parallel implementation, with fixed point, of the particle swarm
optimization (PSO) algorithm on field-programmable gate array (FPGA). Results associated …
optimization (PSO) algorithm on field-programmable gate array (FPGA). Results associated …
A hardware accelerator for particle swarm optimization
Abstract The Particle Swarm Optimization or PSO is a heuristic based on a population of
individuals, in which the candidates for a solution of the problem at hand evolve through a …
individuals, in which the candidates for a solution of the problem at hand evolve through a …
Hardware opposition-based PSO applied to mobile robot controllers
Adaptation of mobile robot controllers commonly requires the computation of optimal points
of operation. Specifically, for miniature mobile robots with serious computational limitations …
of operation. Specifically, for miniature mobile robots with serious computational limitations …
Comparison between two FPGA implementations of the particle swarm optimization algorithm for high-performance embedded applications
Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering
problems that require to find an optimal point of operation. There are several embedded …
problems that require to find an optimal point of operation. There are several embedded …
UAV route planning optimization using PSO implemented on microcontrollers
GD Goez, RA Velasquez… - IEEE Latin America …, 2016 - ieeexplore.ieee.org
The performance and power consumption are essential when designing and implementing
embedded systems for flight control unmanned aerial vehicles (UAV). One of the main …
embedded systems for flight control unmanned aerial vehicles (UAV). One of the main …
A Hardware-Efficient Perturbation Method to the Digital Tent Map
Digital chaotic systems used in various applications such as signal processing, artificial
intelligence, and communications often suffer from the issue of dynamical degradation. This …
intelligence, and communications often suffer from the issue of dynamical degradation. This …
A general framework for accelerating swarm intelligence algorithms on FPGAs, GPUS and multi-core CPUS
Swarm intelligence algorithms (SIAs) have demonstrated excellent performance when
solving optimization problems including many real-world problems. However, because of …
solving optimization problems including many real-world problems. However, because of …
A hardware architecture for training of artificial neural networks using particle swarm optimization
A Bezborah - 2012 Third International Conference on Intelligent …, 2012 - ieeexplore.ieee.org
Artificial Neural Networks (ANN) find applications in various fields of science and
engineering. The training of ANN is an iterative process which consumes huge amount of …
engineering. The training of ANN is an iterative process which consumes huge amount of …
Hardware particle swarm optimization based on the attractive-repulsive scheme for embedded applications
Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering
problems that require to find an optimal point of operation. However, the PSO algorithm …
problems that require to find an optimal point of operation. However, the PSO algorithm …
FPGA realization of particle swarm optimization algorithm using floating point arithmetic
A Rathod, RA Thakker - 2014 International Conference on High …, 2014 - ieeexplore.ieee.org
Attraction towards Particle Swarm Optimization (PSO) algorithm has grown rapidly in the
recent times due to being a simple and efficient optimization technique able to solve many …
recent times due to being a simple and efficient optimization technique able to solve many …