System of systems complexity identification and control

System of systems deployed in dynamic, adaptable environments represent the potential for the generation of great value, power and functionality. The great potential associated with system of systems deployment is offset by the increased complexity associated with the system of systems design, development, deployment, operation and disposal. This paper explores the connection between classical systems engineering techniques of N Squared Charts and Design Structured Matrices coupled with evolutionary algorithms to address both the cognitive complexity and computational complexity associated with system of systems life-cycle events. The key aspect explored in this paper is the enhancement of human perception using computational techniques. The global organizing system relationships, associated with the system of interest, are addressed by the computational component while the local value and interface relationships are addressed by the human system designers. The proper balance of global and local system relations coupled with advanced computational techniques provides the ability to reduce system complexity and increase the effectiveness of deployed systems and systems of systems operations.