A novel pre-multimodal evolutionary optimization inspec-
tion of the fitness landscape for an objective function would generally be
highly needed and is therefore proposed in present paper. An evolution-
ary population of samples in the domain of a given problem is generated
and clustered by means of two appropriately chosen approaches. The aim
is to direct a set of samples towards the basins of attraction within the
landscape of a function and subsequently group them around some ap-
proximate optima.What results from the suggested evolutionary-clustering
tool is an estimation of the number of potential solutions for the problem
and consequently an informed choice for parameter setting in subpopu-
lation demarcation within a multimodal technique that would tackle the
considered objective.