Architecture frameworks, multiobjective optimization and multiphysics simulation: Challenges and opportunities

System architecture design have been proved to be NP-Hard. With regard to this theoretical complexity the general problem to be solved is to achieve a target model quality Q under resources R and time T constraints. The general optimization problem <;Q,R,T> is a multiobjective problem where no global optimum exists. This problem implies several optimization problems, multicriteria scheduling under resource constraints, deterministic bilevel problems and multistage stochastic optimization problems. All problems require architecture evaluation and multilevel simulation is used. We describe the overall process SADA based on these principles.