  This article seeks to contribute to a nuanced understanding of the
integration of Design Structure Matrix (DSM) and genetic algorithms in the
context of Complex Systems modelling described within Model-Based System
Engineering approach. By examining coupling minimization as a critical aspect
of advanced systems engineering practices, we aim to provide a scholarly
exploration, blending theoretical insights with practical applications. The
objective is to equip systems architects with analytical tools integrated
within their Model Based Systems Engineering (MBSE) environment for exploring
the design space of component interactions, facilitating the identification of
optimal system architectures.
