Statistical Significance Analysis of the R-DPSO

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

In Proc. of Int. Symp. on Computational Intelligence for Engineering Systems (ISCIES'2011), Coimbra, Portugal, Nov. 16-18, 2011.

Abstract

This paper presents a statistical significance analysis of a modified version of the Particle Swarm Optimization (PSO) on groups of simulated robots performing a distributed exploration task, denoted as R-DPSO (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 decreased 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 — Multi-robot systems, statistical analysis, swarm robotics, analysis of variance.

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BibTeX

@INPROCEEDINGS(Couceiro_et_al_11e,

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

TITLE = "The Concept of Robot Society: Evidence Taken From Multi-Robot SLAM",

BOOKTITLE = "Proc. of Int. Symp. on Computational Intelligence for Engineering Systems (ISCIES'2011)",

ADDRESS = "Coimbra, Portugal",

YEAR = "2011",

MONTH = "Nov"

)

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Last update: 07/12/2011