Neighborhood Strategies for QPSO Algorithms to Solve Benchmark Electromagnetic Problems

Anton Duca, Laurentiu Duca, Gabriela Ciuprina, Daniel Ioan

2016

Abstract

Several neighborhood strategies for QPSO algorithms are proposed and analyzed in order to improve the performances of the original methods. The proposed strategies are applied to some of the most well known QPSO algorithms such as the QPSO with random mean, the QPSO with Gaussian attractor and of course the basic QPSO. To prevent the premature convergence and to avoid being trapped in local minima the neighborhoods are dynamically changed during the optimization process. For testing the efficiency of the neighborhood techniques two benchmark optimization problems from the electromagnetic field computation have been chosen, Loney’s solenoid and TEAM22.

Paper Citation

in Harvard Style

Duca A., Duca L., Ciuprina G. and Ioan D. (2016). Neighborhood Strategies for QPSO Algorithms to Solve Benchmark Electromagnetic Problems . In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 148-155. DOI: 10.5220/0006040901480155

in Bibtex Style

@conference{ecta16,
author={Anton Duca and Laurentiu Duca and Gabriela Ciuprina and Daniel Ioan},
title={Neighborhood Strategies for QPSO Algorithms to Solve Benchmark Electromagnetic Problems},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)},
year={2016},
pages={148-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006040901480155},
isbn={978-989-758-201-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)
TI - Neighborhood Strategies for QPSO Algorithms to Solve Benchmark Electromagnetic Problems
SN - 978-989-758-201-1
AU - Duca A.
AU - Duca L.
AU - Ciuprina G.
AU - Ioan D.
PY - 2016
SP - 148
EP - 155
DO - 10.5220/0006040901480155