Computational Intelligence Based Selection and Placement of Decoupling Capacitors: A Comparative Study

In high-speed VLSI systems, decoupling capacitors are the key components to minimize power supply noise in power delivery networks. For efficiently maintaining power integrity in these systems, optimal selection and placement of decoupling capacitors is necessary. This paper presents a computational intelligence based generic framework to solve the industrial problem of decoupling capacitor optimization in a practical power delivery network using metaheuristic algorithms. The cumulative impedance of a power delivery network is minimized below the target impedance by optimal selection and placement of decoupling capacitors using the state-of-the-art metaheuristic algorithms. A comparative analysis of the performance of these algorithms is presented with the insights of practical implementation.