Measuring Variables Effect to Statistically Model the Multi-Robot Patrolling Problem by means of ANOVA

D. Portugal and R. P. Rocha

Luis M. Camarinha-Matos, Ehsan Shahamatnia, Gonçalo Nunes (editors), Technological Innovation for Value Creation, Vol. 372, Proc. of 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 12), Costa da Caparica, Lisbon, Portugal, Feb. 27-29, 2012, DOI 10.1007/978-3-642-28255-3_22, Springer Berlin Heidelberg, ISBN 978-3-642-28254-6, pp. 199-206, 2012.

Abstract

This paper focuses on analyzing extensive results generated from running diverse multi-robot patrolling algorithms with different configurations towards measuring the influence of the variables of the general problem. In order to do this, a statistical technique by the name of Analysis of Variance (ANOVA) is employed to compare the parameters and identify the ones which give raise to the total dispersion of the data set, at the same time accessing their contribution to the obtained results. It is shown that by applying such technique, it is possible to compute a data-related model for the Multi-Robot Patrolling Problem (MRPP).

Index Terms — Multi-robot patrolling, ANOVA, statistical analysis.

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BibTeX

@INCOLLECTION (Portugal_et_al_12b,

AUTHOR = "Portugal, D. and Rocha, R. P.",

TITLE = "Measuring Variables Effect to Statistically Model the Multi-Robot Patrolling Problem by means of \textsc{ANOVA}",

BOOKTITLE = "Technological Innovation for Value Creation, Vol. 372, Proc. of 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 12)",

PUBLISHER = "Springer Berlin Heidelberg",

EDITOR = "Luis M. Camarinha-Matos, Ehsan Shahamatnia, Gonçalo Nunes",

YEAR = "2012",

PAGES = "199-206"

)

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Last update: 29/02/2012