Notice: Undefined variable: site_menusepcolor in /var/www/template.inc on line 63
|
Notice: Undefined variable: site_titleStack in /var/www/template.inc on line 70
Richards, Mark's Publications (detailed list) |
|
|
THIS PAGE IS NO LONGER MAINTAINED. Click here for our new publications list, which is more up-to-date.
This page contains the titles and abstracts of papers written by author Richards, Mark, a member of the BYU Neural Networks and Machine Learning (NNML) Research Group. Postscript files are available for most papers. A more concise list is available.
To view the entire list in one page, click here.
Choosing a Starting Configuration for Particle Swarm Optimization
- Authors: Mark Richards and Dan Ventura
- Abstract:
The performance of Particle Swarm Optimization can be improved by strategically selecting the starting positions of the particles. This work suggests the use of generators from centroidal Voronoi tessellations as the starting points for the swarm. The performance of swarms initialized with this method is compared with the standard PSO algorithm on several standard test functions. Results suggest that CVT initialization improves PSO performance in high-dimensional spaces.
- Reference: Proceedings of the Joint Conference on Neural Networks, pages 2309–2312, July 2004.
- BibTeX:
@article{richards.ijcnn04,
author = {Richards, Mark and Ventura, Dan},
title = {Choosing a Starting Configuration for Particle Swarm Optimization},
journal = {Proceedings of the Joint Conference on Neural Networks},
pages = {2309--2312},
month = {July},
year = {2004},
} - Download the file: pdf
Dynamic Sociometry in Particle Swarm Optimization
- Authors: Mark Richards and Dan Ventura
- Abstract:
The performance of Particle Swarm Optimization is greatly affected by the size and sociometry of the swarm. This research proposes a dynamic sociometry, which is shown to be more effective on some problems than the standard star and ring sociometries. The performance of various combinations of swarm size and sociometry on six different test functions is qualitatively analyzed.
- Reference: Proceedings of the Joint Conference on Information Sciences, pages 1557–1560, September 2003.
- BibTeX:
@article{richards.jcis03,
author = {Richards, Mark and Ventura, Dan},
title = {Dynamic Sociometry in Particle Swarm Optimization},
journal = {Proceedings of the Joint Conference on Information Sciences},
pages = {1557--1560},
month = {September},
year = {2003},
} - Download the file: pdf
|
| |
|
|
