Abstract
Predictive models based on Pareto fronts are key tools to understand and leverage tradeoffs in electronic circuit and system design. These predictive models are mostly used to accelerate design and enforce reuse [4]. The main drawback is that their generation requires a huge time which depends on both simulation and multi objective optimization time. This paper presents an efficient method to build predictive models with more speed and accuracy employing macro models simulation tool (Tactyle) and optimization software (MIDACO). Starting from system predictive model, we developed a Top-down flow which propagate the system constraints to lower level blocks, so we can design the sub-blocks in order to meet the system specifications. This approach is applied to a buck converter circuit
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