**6. Conclusion**

The design of analog integrated blocks and the search for an optimum design point in a highly non-linear design space evolve different approaches and choices. Simulated Annealing and its variations are a good option for the exploration of this kind of problem. This chapter presented some implications of the algorithm tuning over the final results. We could demonstrate that the correct configuration of SA options can lead to good solutions near the optimality in reasonable execution time. Although it is not clear that some configuration is suitable for sizing all types of analog blocks, it is possible to notice that the approach is correct and, with minimum adjusts for different circuits, SA can be used as a general optimization algorithm, providing good solutions. A direct comparison with a tool based on genetic algorithms for the synthesis of a folded cascode operational amplifier showed that better results can be obtained with the correct design space exploration with SA. As future work, the analysis of parameter variation in the optimization methodology for design centering must be implemented.
