A random synchronous-asynchronous particle swarm optimization algorithm with a new iteration strategy
Particle swarm optimisation (PSO) is a population-based stochastic optimisation algo rithm. Traditionally the particles update sequence for PSO can be categorized into two groups, synch ronous (S-PSO) or asynchronous (A-PSO) update. In S- PSO, the particles’ performances are evaluated before their v...
Saved in:
Main Authors: | Ab. Aziz, Nor Azlina, Sudin, Shahdan, Mubin, Marizan, Nawawi, Sophan Wahyudi, Ibrahim, Zuwairie |
---|---|
Format: | Conference or Workshop Item |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/60660/ http://inecce.ump.edu.my/index.php/en/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A random synchronous asynchronous particle swarm optimization algorithm with a new iteration strategy
by: Ab. Aziz, Nor Azlina, et al.
Published: (2015) -
Improving particle swarm optimization via adaptive switching asynchronous – synchronous update
by: Ab. Aziz, Nor Azlina, et al.
Published: (2018) -
Improving particle swarm optimization via adaptive switching asynchronous - synchronous update
by: Ab. Aziz, Nor Azlina, et al.
Published: (2018) -
Improving particle swarm optimization via adaptive switching asynchronous – synchronous update
by: Nor Azlina, Ab. Aziz, et al.
Published: (2018) -
Improving particle swarm optimization via adaptive switching asynchronous – synchronous update
by: Abd Aziz, Nor Azlina, et al.
Published: (2018)