System, method, and computer program product for optimization-based printed circuit board design
US12223248B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 10, 2020 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Feb 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2115/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to electronic circuit design, and more specifically, to training a neural network to serve as the reward function for optimization-based approaches to PCB design automation. Embodiments may include generating, using a processor, one or more placed designs using a genetic optimization methodology including a reward function and adjusting the one or more placed designs and the reward function during the generating. Embodiments may further include routing the one or more placed designs using an auto-router to assign a routability score label and training a neural network, using the one or more placed designs and the routability score label, to extract one or more intermediate features from the one or more placed designs. Embodiments may also include predicting a routability of the PCB design based upon, at least in part, the one or more intermediate features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.