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Authors: Krzysztof Trojanowski and Tomasz Kulpa

Affiliation: Cardinal Stefan Wyszynski University, Poland

ISBN: 978-989-758-274-5

Keyword(s): Particle Convergence Expected Time, Particle Location Variance Convergence Time, Particle Stability Time, PSO with Inertia Weight, Standard PSO-2011.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Swarm/Collective Intelligence

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.

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Paper citation in several formats:
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

@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},
}

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

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