  The computational modeling of genetic regulatory networks is now common
place, either by fitting a system to experimental data or by exploring the
behaviour of abstract systems with the aim of identifying underlying
principles. This paper presents an approach to the latter, considering the
response to environmental changes of a well-known model placed upon tunable
fitness landscapes. The effects on genome size and gene connectivity are
explored.
