NSGA-II- and Fuzzy-TOPSIS Algorithms-Based Realization of a Low-Power and High-\({g}_{{m}}\) CDTA

The current differential transconductance amplifier’s (CDTA) primary design goals are low power consumption and high transconductance gain. However, these two objectives are incompatible, and it is difficult to achieve their optimal values at the same time. This work presents a unique CDTA design technique based on the Non-dominating Sorting Genetic Algorithm-II (NSGA-II) and the Fuzzy logic-based TOPSIS algorithm. The offered scheme treats the CDTA design as a multi-objective optimization problem (MOOP) and achieves simultaneous power consumption minimization and transconductance gain maximization by optimizing the CDTA circuit’s transistor aspect ratio and biasing current. The NSGA-II-based CDTA design scheme is implemented and simulated using MATLAB R2008a and the PSPICE EDA tool. The simulation environment also takes into account the 130 nm TSMC MOSIS Level-49 model file. When compared to the existing CDTA design, the results show a 12% improvement in transconductance gain and a 39% reduction in power consumption.