An Efficient Reference-point Based Surrogate-assisted Multi-objective Differential Evolution for Analog/RF Circuit Synthesis

In this paper, we propose an efficient reference-point based surrogate-assisted multi-objective differential evolution algorithm for analog/RF circuit synthesis, which aims to greatly reduce simulation time while maintaining accuracy. First, offspring are generated by differential evolution operator and polynomial mutation. Then we predict the offspring by Gaussian process. Finally, sort the offspring by modified reference-point based NSGA-III criterion, only the most promising one instead of multiple designs is able to be simulated by the circuit simulator. Experimental results on two real-world circuits show that compared with two state-of-the-art multi-objective evolutionary algorithms, our method can achieve up to 6X simulation time reduction without surrendering any accuracy.