Parallel Swarms Oriented Particle Swarm Optimization
The particle swarm optimization (PSO) is a recently invented evolutionary computation technique which is gaining popularity owing to its simplicity in implementation and rapid convergence. In the case of single-peak functions, PSO rapidly converges to the peak; however, in the case of multimodal fun...
Saved in:
Main Authors: | Tad Gonsalves, Akira Egashira |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2013/756719 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
by: Dong-yun Wang, et al.
Published: (2013-01-01) -
Human Behavior-Based Particle Swarm Optimization
by: Hao Liu, et al.
Published: (2014-01-01) -
On Particle Swarm Optimization for MIMO Channel Estimation
by: Christopher Knievel, et al.
Published: (2012-01-01) -
Multiobjective Particle Swarm Optimization Based on Ideal Distance
by: Shihua Wang, et al.
Published: (2022-01-01) -
AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS
by: Nguyễn Thị Như Na
Published: (2017-06-01)