Optimal RF IC design based on Fuzzy Genetic Algorithm

A novel fuzzy genetic algorithm based RF IC optimal design approach is proposed in this paper. RF design difficulty is alleviated because of genetic algorithm, which is capable of fast global searching. Fuzzy logic algorithm is introduced to solve problems in generating a proper cost function from multiple objectives. Key issues have been identified as logical normalization and dynamical combination. In this way, performance metric weights are adapted to uncertain and contradictory multiple objectives. The overall system and individual blocks are described and results on the optimization of LNA designs are presented.