Curve-Fitting on Graphics Processors Using Particle Swarm Optimization

DOI

10.1080/18756891.2013.869901How to use a DOI?

Keywords

GPU, CUDA, particle swarm optimization, curve fitting

Abstract

Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO). Particle swarm optimization is particularly well-suited to implementation on graphics processors using CUDA as each CUDA thread can be made to model a single particle in a swarm with the swarm itself defined by thread blocks.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - R.T. Kneusel
PY  - 2014
DA  - 2014/04/01
TI  - Curve-Fitting on Graphics Processors Using Particle Swarm Optimization
JO  - International Journal of Computational Intelligence Systems
SP  - 213
EP  - 224
VL  - 7
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.869901
DO  - 10.1080/18756891.2013.869901
ID  - Kneusel2014
ER  -