Towards a Further Understanding of the Robotic Darwinian PSO

M. S. Couceiro, F. M. Martins, F. Clemente, R. P. Rocha and N. M. Ferreira

Ana M. Madureira, Cecília Reis and Viriato M. Marques (editors), Computational Intelligence and Decision Making - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries, vol. 61, Springer Verlag, ISBN 978-94-007-4721-0, pp. 13-22, 2013.

Abstract

This paper presents a statistical significance analysis of a modified version of the Particle Swarm Optimization (PSO) on groups of simulated robots per-forming a distributed exploration task, denoted as RDPSO (Robotic DPSO). This work aims to evaluate this novel exploration strategy studying the performance of the algorithm under communication constraints while increasing the population of robots. Experimental results show that there is no linear relationship between the number of robots and the maximum communication range. In general, the de-creased performance by the developed algorithm under communication constraints can be overcome by slightly increasing the number of robots as the maximum communication range is decreased.

Index Terms — Particle swam optimization, communication constraints, wireless ad hoc communication, swarm robotics.

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BibTeX

@INCOLLECTION(Couceiro_et_al_13a,

AUTHOR = "Couceiro, M. S. and Martins, F. M. and Clemente, F. and Rocha, R. P. and Ferreira, N. M.",

TITLE = "Towards a Further Understanding of the Robotic Darwinian \textsc{PSO}",

BOOKTITLE = "Computational Intelligence and Decision Making - Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries",

PUBLISHER = "Springer Verlag",

YEAR = "2013",

EDITOR = "Madureira, Ana and Reis, Cecília and Marques, Viriato",

PAGES = "13-22"

)

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Last update: 26/07/2013