Precise manipulation of radii within multimodal evolutionary
techniques has always been a crucial and never
straightforward issue. It is also the case with the genetic
chromodynamics paradigm, which conducts examination
of several attraction basins at a time through interactions
between individuals lying in regions determined by
user-defined thresholds. It is in this sense that an alternative
adaptive mechanism for subpopulation detection, based
on the exploitation of the landscape topology, is proposed
and validated on a number of multimodal functions. Results
bear out the flexibility and augmented behavior of a
genetic chromodynamic algorithm disburdened of dealing
with highly sensitive radii control of multimodality.