Multiobjective Optimization of Circuit Performances through Solution Ranking and Evolutionary Strategies

Abstract

This work concerns the optimization of circuit performances of a Two Stage Operational Transconductance Amplifier. The problem arises from the circuit design flow which uses simulators when these tools and their inner device models are considered as a black-box. The performance specifications are targets for the optimization and are explored in a multiobjective space. Solution ranking by Pareto dominance criterion leads to more stable multiobjective solutions which is an important consideration from the design point of view. Evolutionary strategies can exploit this solution rank by selection in order to get a set of non-dominated equivalent solutions called Pareto optimal front.

[DOI: 10.1685/CSC06138] About DOI