This dissertation investigates and considers a new simulator of Quantum Dots Cellular Automata (QCA) Circuits and a new methodology for the synthesis and optimization of logical circuits, by means of Computational Intelligence. Quantum-dot Cellular Automata (QCA) is a new technology in the nanometric scale which has called attention from researchers as one alternative for the CMOS technology, which is reaching its physical limitation. QCA have a large potential in the development of circuits with high space density and low heat dissipation, and can allow the development of faster computers with lower power consumption. Differently from the conventional technologies, QCA do not codify information by means of electric current flow, but rather by the configuration of electrical charges in the interior of the cells. The Coulomb interaction between cells is responsible by the flow of information. Despite simple, these features become the design of logical devices into a non-trivial task. Therefore, the development of a simulator and a methodology of automatic synthesis of QCA circuits make possible to the scientist a better evaluation of how these circuits work, accelerating the development of these new systems in the nanometer scale. To reach the proposed target, Computational Intelligence techniques were used. The first results show that these techniques are capable of simulating efficiently and fast, synthesizing optimized circuits with a reduced number of cells. Such optimization reduces the possibility of failures and guarantees higher speed.