This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 12th annual conference on Genetic and evolutionary computation
, http://dx.doi.org/10.1145/1830483.1830657Success Rate (SR) is a statistic straightforward to use and
interpret, however a number of non-trivial statistical issues
arises when it is examinated in detail. We address some
of those issues, providing evidence that suggests that SR
follows a binomial density function, therefore its statistical
properties are independent of the flavour of the Evolutionary
Algorithm (EA) and its domain. It is fully described by
the SR and the number of runs. Moreover, the binomial distribution
is a well known statistical distribution with a large
corpus of tools available that can be used in the context of
EC research. One of those tools, confidence intervals (CIs),
is studie
