Even as hydroinformatics continues to elaborate more advanced operatio
nal tools, languages and environments for engineering and management p
ractice, it necessarily also promotes a number of concepts and methodo
logies that are eminently applicable within the more traditional areas
of hydraulic research. Among the many new possibilities thereby intro
duced, that of evolving equations from hydraulic data using evolutiona
ry algorithms has a particularly wide range of applications. The prese
nt paper is in two parts, the first of which introduces the subject an
d outlines its theory, while the second is given over to four represen
tative applications and to some of the most immediate lessons that may
be drawn from these. The first of the applications is derived from a
hydrologic model but provides equations with purely hydraulic interpre
tations. The second, taken from sediment transport studies, raises the
question of ambiguity in the identification of ''thresholds'' in phys
ical processes. It also provides a means for analyzing the significanc
e of variables and indicates the need, or otherwise, for introducing f
urther variables. A third example, based upon physical observations of
salt water intrusion in estuaries, introduces the application of the
present methods to accelerating prediction processes, while the fourth
example extends this kind of application to cover numerically generat
ed data, in this case appertaining to the case of flow resistance in t
he presence of vegetation.