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

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).
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Communication dans un congrès
Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.199-206, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_22〉
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David Portugal, Rui Rocha. Measuring Variables Effect to Statistically Model the Multi-Robot Patrolling Problem by Means of ANOVA. Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.199-206, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_22〉. 〈hal-01365586〉

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