| Autor: |
Cristian Diaconu, Andi Buzo, Horia Cucu, Gabriel Sandu, Marius Stanescu, Georg Pelz, Catalin Visan |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 International Semiconductor Conference (CAS). |
| Popis: |
Manual circuit design involves a time-consuming sizing task that diverts the highly skilled analog designers from creative work to a trial-and-error process. To reduce R&D costs and speed-up the time to market, this process can be automatized using artificial intelligence. In this paper we evaluate the most promising five Evolutionary Algorithms in the context of circuit sizing in a multi-objective optimization scenario. We calibrate their hyperparameters by performing a grid search on synthetic benchmarks and we compare the performance of the algorithms on a real voltage regulator. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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