Automating Capacitor Part Selection with Dual-Objective Optimization

Fuente: arXiv
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Hauptverfasser: Brantingham, Luke, Grover, Jason
Format: Preprint
Veröffentlicht: 2025
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author Brantingham, Luke
Grover, Jason
author_facet Brantingham, Luke
Grover, Jason
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2507_16071
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Automating Capacitor Part Selection with Dual-Objective Optimization
Brantingham, Luke
Grover, Jason
Systems and Control
General Economics
Economics
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.
title Automating Capacitor Part Selection with Dual-Objective Optimization
topic Systems and Control
General Economics
Economics
url https://arxiv.org/abs/2507.16071