TWO ALGORITHMS OF THE EXTENDED PSO FAMILY
Juan Luis Fernández-Martínez, Esperanza Garcia-Gonzalo
2010
Abstract
In this paper we present two novel algorithms belonging to the extended family of PSO: the PP-GPSO and the RR-GPSO. These algorithms correspond respectively to progressive and regressive discretizations in acceleration and velocity. PP-GPSO has the same velocity update than GPSO, but the velocities used to update the trajectories are delayed one iteration, thus, PP-GPSO acts as a Jacobi system updating positions and velocities at the same time. RR-GPSO is similar to a GPSO with stochastic constriction factor. Both versions have a very different behavior from GPSO and the other family members introduced in the past: CC-GPSO and CP-GPSO. The numerical comparison of all the family members has shown that RR-GPSO has the greatest convergence rate and its good parameter sets can be calculated analytically since they are along a straight line located in the first order stability region. Conversely PP-GPSO is a more explorative version.
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Paper Citation
in Harvard Style
Luis Fernández-Martínez J. and Garcia-Gonzalo E. (2010). TWO ALGORITHMS OF THE EXTENDED PSO FAMILY . In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 237-242. DOI: 10.5220/0003085702370242
in Bibtex Style
@conference{icec10,
author={Juan Luis Fernández-Martínez and Esperanza Garcia-Gonzalo},
title={TWO ALGORITHMS OF THE EXTENDED PSO FAMILY},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={237-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003085702370242},
isbn={978-989-8425-31-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - TWO ALGORITHMS OF THE EXTENDED PSO FAMILY
SN - 978-989-8425-31-7
AU - Luis Fernández-Martínez J.
AU - Garcia-Gonzalo E.
PY - 2010
SP - 237
EP - 242
DO - 10.5220/0003085702370242