TITLE

An Improved Particle Swarm Optimization

AUTHOR(S)
Wenjuan Zeng; Haibo Gao; Wang Jing
PUB. DATE
November 2014
SOURCE
Information Technology Journal;2014, Vol. 13 Issue 16, p2560
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The basic and improved algorithms of PSO are focused on how to search effectively the optimalsolution in the solution space by using one of the particle swarm. However, the particles are always chasing the global optimal point and such points are currently found on their way of search, rapidly leading their speed down to zero and hence being restrained in the local minimum. Consequently, there are the convergence or early maturity of particles. The improved PSO is based on the enlightenment of Back-Propagation (BP) neural network while the improvement is similar to the smooth weight through low-pass filter. The test of classical functions show that the PSO provides a promotion in the convergence precision and make better a certain extent in the calculation velocity.
ACCESSION #
98613593

 

Related Articles

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics