Automating Capacitor Part Selection with Dual-Objective Optimization

TL;DR

This paper introduces a new framework that uses multi-objective optimization to automate capacitor selection in electronic design, balancing cost, size, and performance effectively.

Contribution

It presents a novel optimization-based method for capacitor selection that simultaneously considers multiple objectives in electronic design.

Findings

Effective minimization of cost and board area.

Successful meeting of performance constraints.

Demonstrated advantages over traditional selection methods.

Abstract

This paper presents a novel framework for optimizing capacitor selection in electronic design using multi-objective linear and non-linear constrained optimization techniques. We demonstrate the effectiveness of this approach in minimizing cost and board area while meeting critical performance requirements.