Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains

Seunghyup Han, Osama Waqar Bhatti, Woo Jin Na, Madhavan Swaminathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper proposes a reinforcement learning (RL)-based method to optimize power plane design with multiple voltage domains. The proposed method enables the simultaneous selection of the plane for expansion and its expansion direction, determining the size and shape of multiple power planes. The results show that the proposed method provides various optimized power plane designs that satisfy the target impedance and ensure the reference plane for the input/output (I/O) interface.

Original languageEnglish (US)
Title of host publication2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-150
Number of pages4
ISBN (Electronic)9798350347401
DOIs
StatePublished - 2023
Event2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023 - Hybrid, Winnipeg, Canada
Duration: Jun 28 2023Jun 30 2023

Publication series

Name2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023

Conference

Conference2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
Country/TerritoryCanada
CityHybrid, Winnipeg
Period6/28/236/30/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Mathematical Physics
  • Modeling and Simulation

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