Abstract
Optimizing the placement of decoupling capacitors (decaps) is crucial in power delivery network (PDN) design, yet it poses challenges due to the large search space. In this paper, we present a dual-structure genetic algorithm (GA)-based optimization method that optimizes both via placement and decap configurations to achieve the target impedance while minimizing the number of capacitors used. The resulting design exhibits a lower cost function compared to previous methods that optimizes decaps at fixed locations, displaying enhanced optimization performance.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 525 |
| Number of pages | 1 |
| ISBN (Electronic) | 9798350360394 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024 - Phoenix, United States Duration: 2024 Aug 5 → 2024 Aug 9 |
Publication series
| Name | IEEE International Symposium on Electromagnetic Compatibility |
|---|---|
| ISSN (Print) | 1077-4076 |
| ISSN (Electronic) | 2158-1118 |
Conference
| Conference | 2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024 |
|---|---|
| Country/Territory | United States |
| City | Phoenix |
| Period | 24/8/5 → 24/8/9 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
ASJC Scopus subject areas
- Condensed Matter Physics
- Electrical and Electronic Engineering