Paper Info
Title
Confident but weakly informed: Tackling PSO's momentum conundrum
Abstract
Particle Swarm Optimization uses noisy historical information to select potentially optimal function samples. Though information-theoretic principles suggest that less noise indicates greater certainty, PSO's momentum term is usually both the least informed and the most deterministic. This dichotomy suggests that while momentum has a profound impact on swarm diversity, it would benefit from a more principled approach. We demonstrate that momentum can be made both more effective and better behaved with informed feedback, and that it may even be completely eliminated with proper application of more straightforward and well-behaved diversity injection strategies.
Year
DOI
Venue
2014
10.1109/SIS.2014.7011776
Swarm Intelligence
Keywords
Field
DocType
information theory,particle swarm optimisation,PSO momentum conundrum,diversity injection strategies,information-theoretic principles,informed feedback,noisy historical information,particle swarm optimization,swarm diversity
Particle swarm optimization,Mathematical optimization,Certainty,Swarm behaviour,Multi-swarm optimization,Momentum,Artificial intelligence,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
2
Name
Order
Citations
PageRank
Christopher K. Monson113414.77
Kevin D. Seppi233541.46