  The decision to locate an economic activity of one or several countries is
made taking into account numerous parameters and criteria. Several studies have
been carried out in this field, but they generally use information in a reduced
context. The majority are based solely on parameters, using traditional methods
which often lead to unsatisfactory solutions.This work consists in hybridizing
through genetic algorithms, economic intelligence (EI) and multicriteria
analysis methods (MCA) to improve the decisions of territorial localization.
The purpose is to lead the company to locate its activity in the place that
would allow it a competitive advantage. This work also consists of identifying
all the parameters that can influence the decision of the economic actors and
equipping them with tools using all the national and international data
available to lead to a mapping of countries, regions or departments favorable
to the location. Throughout our research, we have as a goal the realization of
a hybrid conceptual model of economic intelligence based on multicriteria on
with genetic algorithms in order to optimize the decisions of localization, in
this perspective we opted for the method of PROMETHEE (Preference Ranking
Organization for Method of Enrichment Evaluation), which has made it possible
to obtain the best compromise between the various visions and various points of
view.
