Embedded intelligence: State-of-the-art and research challenges

KP Seng, LM Ang - IEEE Access, 2022 - ieeexplore.ieee.org
Recent years have seen deployments of increasingly complex artificial intelligent (AI) and
machine learning techniques being implemented on cloud server architectures and …

A CUDA implementation of the standard particle swarm optimization

MM Hussain, H Hattori… - 2016 18th international …, 2016 - ieeexplore.ieee.org
The social learning process of birds and fishes inspired the development of the heuristic
Particle Swarm Optimization (PSO) search algorithm. The advancement of Graphics …

A differential BPSO-GA hybrid algorithm for discrete combination optimization

Y Zhou, Z Li, C Hu - 2017 36th Chinese Control Conference …, 2017 - ieeexplore.ieee.org
There are a lot of typical statistical problems in discrete combination optimization, including
integer linear programming, covering problem, knapsack problem, graph theory, network …

Neural Network Training Acceleration with PSO Algorithm on a GPU Using OpenCL

J Li, Q Liu - Proceedings of the 8th International Symposium on …, 2017 - dl.acm.org
Neural networks and deep learning currently provide the promising solutions to many
practical problems. One of the difficulties in building neural network models is the training …

[PDF][PDF] GPU-based Parallel Single and Multi-objective Particle Swarm Optimization for Large Swarms and High Dimensional Problems

MD HUSSAIN - 2020 - omu.repo.nii.ac.jp
The social learning process of birds and fishes inspired the development of the heuristic
Particle Swarm Optimization (PSO) search algorithm. The advancement of Graphics …