Particle Stability in PSO under Stagnation Assumption

Krzysztof Trojanowski, Tomasz Kulpa

2017

Abstract

Convergence properties of a particle and a swarm decide about their performance. Particularly, one of these properties is a time, that is, a number of particle steps necessary to reach an equilibrium state. This is a subject of presented analysis. Generalized weak versions of measures: particle convergence expected time (pcet) and the particle location variance convergence time (pvct) as well as a new measure for evaluation of steps number necessary to reach equilibrium state, namely particle stability time, are proposed. For all the measures graphs of estimated and recorded values are presented.

Paper Citation

in Harvard Style

Trojanowski K. and Kulpa T. (2017). Particle Stability in PSO under Stagnation Assumption.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 273-280. DOI: 10.5220/0006501602730280

in Bibtex Style

@conference{ijcci17,
author={Krzysztof Trojanowski and Tomasz Kulpa},
title={Particle Stability in PSO under Stagnation Assumption},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006501602730280},
isbn={978-989-758-274-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Particle Stability in PSO under Stagnation Assumption
SN - 978-989-758-274-5
AU - Trojanowski K.
AU - Kulpa T.
PY - 2017
SP - 273
EP - 280
DO - 10.5220/0006501602730280