Improved particle swarm optimization algorithms study based on the neighborhoods topologies

A study of neighborhoods topologies on particle swarm optimization for complex functions is discussed. The suitability of three topologies to the kind of functions is experimented. The convergence features affected by neighborhoods topologies on complex functions are illustrated. To prevent prematur...

Full description

Saved in:
Bibliographic Details
Main Authors: Wei Jian, Yuncan Xue, Jixin Qian
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Applied sciences
Automotive engineering
Birds
Computer industry
Computer science
control theory
systems
Control theory. Systems
Convergence
Exact sciences and technology
Modelling and identification
Particle swarm optimization
Random sequences
Stochastic processes
Topology
Vents
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A study of neighborhoods topologies on particle swarm optimization for complex functions is discussed. The suitability of three topologies to the kind of functions is experimented. The convergence features affected by neighborhoods topologies on complex functions are illustrated. To prevent premature phenomenon of the original algorithm, an improved particle swarm optimization algorithm with velocity and position disturbances is used. Simulations have been carried and the results show this improved algorithm has batter performance for complex functions.
DOI:10.1109/IECON.2004.1432138