A novel design space reduction method for efficient simulation-based optimization

Hsing Han Tseng, Shiou Wen Wang, Jian Yu Chen, Chien-Nan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Simulation-based optimization and equation-based optimization are two popular approaches for analog design optimization. In order to combine the advantages of both approaches, a novel simplex-based design space reduction method is proposed in this paper to improve the efficiency of simulation-based optimization. By using the proposed two-stage optimization approach, the design space exhibiting a global optimal point can be simplified to a small region rapidly, and the simulation-based optimization can then be applied to search the region to identify the global optimal point accurately. As revealed in the experimental results, in several analog circuits, the proposed method exhibits higher efficiency than traditional global search approaches do, without sacrificing accuracy.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages381-384
Number of pages4
ISBN (Print)9781479934324
DOIs
StatePublished - 1 Jan 2014
Event2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
Duration: 1 Jun 20145 Jun 2014

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
CountryAustralia
CityMelbourne, VIC
Period1/06/145/06/14

Keywords

  • analog design automation
  • simplex-based optimization
  • simulated annealing algorithm

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