This dissertation investigates a new analog reconfigurable platform, developed to supply an environment to evolve generic analog circuits based on discrete components, without the need of simulators. Automatic reconfiguration of programmable devices may potentially be driven by Evolutionary Computation techniques such as Genetic Algorithms. Reconfigurable Platforms promise to establish a new trend in electronic design, where a single device now has the flexibility to implement a wide range of electronic circuits, analog or digital. A major interest is shown by researches towards those platforms characteristics of self- adaptation and self- repairing through automatic reconfiguration. These are essential features for systems that need to perform for a long time in harsh environments such as those employed in space exploration missions. Industrially, those features can be applied on analog Evolvable Hardware chip, with the aim to improve the yield rate and produce smaller circuits. This research had four steps: a study of related works, the concept of the platform, it`s implementation and cases studies. In the first step, the focus was to study about Evolvable Hardware, it`s main researches and published work, eferences, and the area actual position. An emphasis has been given to intrinsic evolution, and consequently, to the study of the analog reconfigurable platforms. The concept of the platform and it`s implementation had three steps, and each one of these had its own concept, implementation and experiments steps. The first step aimed at proving the initial concept, totally theoretical. Due to that a limited prototype has been implemented, and the features of self- adaptation through automatic reconfiguration, tranparency and robustness were studied. In the second step, a bigger Reconfigurable Analog Circuit has been developed, allowing the evolution of a wider range of circuits. In the third step, the initial concept of the plataform was already well proved, so the aim was at developing a better interface between the software and the reconfigurable platform to make the evolution faster. In each one of the steps described above a case study has been done. The focus was to study and prove the platform`s characteristics and drawbacks. The experiments taken in the first step were inverter circuit topologies. In the second step an exclusive-or has been synthetized. The evolution time of this experiment was compared to the evolution time of the same experiment evolved in the third step of implementation of the platform. And in this third step, due to the faster interface, other experiments were evolved, such as a multiplexer circuit and an amplifier. The evolved circuits has shown no conventional designs, proving that the evolutionary algorithms can explore some of the regions beyond the scope of conventional me thods, raising the possibility that better designs can be found. The results have also shown that the proposed platform has the desired features of self-adaptation and self-repairing through automatic reconfiguration, transparency, flexibility and robustness.