Analog and RF Circuit Constrained Optimization Using Multi-Objective Evolutionary Algorithms
Κostas Touloupas, Paul Peter Sotiriadis · 2021
This paper presents a simulation-based optimization method for automatic sizing in analog and RF IC blocks. It introduces a combination of a state-of-the-art Multi Objective evolutionary algorithm (EA) with a new constraint handling approach to effectively explore the high-dimensional constrained design space, typical in every analog and RF IC block design. An additional modification in the core of the EA is also proposed for handling efficiently mixed continuous-integer parameter search spaces. The methodology is illustrated in a Nested-Current-Mirror amplifier and a Wideband Low Noise Amplifier achieving better results than typical constraint handling approaches.