Dual-Structure Genetic Algorithm-Based Optimization Method for PDN Design

Optimizing the placement of decoupling capacitors (decaps) is crucial in power delivery network (PDN) design, yet it poses challenges due to the large search space. In this paper, we present a dual-structure genetic algorithm (GA)-based optimization method that optimizes both via placement and decap configurations to achieve the target impedance while minimizing the number of capacitors used. The resulting design exhibits a lower cost function compared to previous methods that optimizes decaps at fixed locations, displaying enhanced optimization performance.