Efficient global optimization of actuator based on a surrogate model assisted hybrid algorithm
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-12310
- Type
- D - Journal article
- DOI
-
10.1109/TIE.2017.2782203
- Title of journal
- IEEE Transactions on Industrial Electronics
- Article number
- -
- First page
- 5712
- Volume
- 65
- Issue
- 7
- ISSN
- 0278-0046
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2018
- URL
-
http://eprints.gla.ac.uk/209563/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a method for synthesis of many multiphysics actuators/sensors in a practical timeframe that was previously impossible. As an example, the latest mono-bridge AMR 3D magnetometer (US patent: 9562953) by Isentek Technology Inc was synthesized, reducing an expected 5-month manual design time to 3 days. The method is used by several leading electromagnetic design teams and their industry partners.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
