Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems
Particle Swarm Optimization (PSO) is a metaheuristic whose performance deteriorates significantly when utilized on optimization problems subject to noise. On these problems, particles eventually fail to distinguish good from bad solutions because their objective values are corrupted by noise. Specif...
Saved in:
Published in | Swarm and evolutionary computation Vol. 17; pp. 37 - 59 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.2014
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!