  A computer simulation, such as a genetic algorithm, that uses IEEE standard
floating-point arithmetic may not produce exactly the same results in two
different runs, even if it is rerun on the same computer with the same input
and random number seeds. Researchers should not simply assume that the results
from one run replicate those from another but should verify this by actually
comparing the data. However, researchers who are aware of this pitfall can
reliably replicate simulations, in practice. This paper discusses the problem
and suggests solutions.
