A novel surrogate-based approach for optimal design of electromagnetic-based circuits. Issue 2 (1st February 2016)
- Record Type:
- Journal Article
- Title:
- A novel surrogate-based approach for optimal design of electromagnetic-based circuits. Issue 2 (1st February 2016)
- Main Title:
- A novel surrogate-based approach for optimal design of electromagnetic-based circuits
- Authors:
- Hassan, Abdel-Karim S.O.
Mohamed, Ahmed S.A.
Rabie, Azza A.
Etman, Ahmed S. - Abstract:
- Abstract : A new geometric design centring approach for optimal design of central processing unit-intensive electromagnetic (EM)-based circuits is introduced. The approach uses norms related to the probability distribution of the circuit parameters to find distances from a point to the feasible region boundaries by solving nonlinear optimization problems. Based on these normed distances, the design centring problem is formulated as a max–min optimization problem. A convergent iterative boundary search technique is exploited to find the normed distances. To alleviate the computation cost associated with the EM-based circuits design cycle, space-mapping (SM) surrogates are used to create a sequence of iteratively updated feasible region approximations. In each SM feasible region approximation, the centring process using normed distances is implemented, leading to a better centre point. The process is repeated until a final design centre is attained. Practical examples are given to show the effectiveness of the new design centring method for EM-based circuits.
- Is Part Of:
- Engineering optimization. Volume 48:Issue 2(2016)
- Journal:
- Engineering optimization
- Issue:
- Volume 48:Issue 2(2016)
- Issue Display:
- Volume 48, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 48
- Issue:
- 2
- Issue Sort Value:
- 2016-0048-0002-0000
- Page Start:
- 185
- Page End:
- 198
- Publication Date:
- 2016-02-01
- Subjects:
- EM-based circuit design -- design centring -- normed distances -- optimal design -- space-mapping surrogates -- yield optimization
Engineering design -- Periodicals
Mathematical optimization -- Periodicals
620.0042 - Journal URLs:
- http://www.tandfonline.com/toc/geno20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/0305215X.2014.995178 ↗
- Languages:
- English
- ISSNs:
- 0305-215X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3766.145000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 311.xml