Bin, Xia and Pham, Minh Trien and Zhang, Yanli and Koh, Chang Seop (2018) Utilizing Adaptive Dynamic Taylor Kriging Assisted Multi-Objective DE Algorithm for Optimization Design of Electromagnetic Device. In: 2018 the Eighteenth Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2018), 28-31 October 2018, Hangzhou, China. (In Press)
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Abstract
A multi-objective global optimization strategy is de- veloped by incorporating an adaptive dynamic Taylor Kriging (ADTK) into an improved multi-objective differential evolution algorithm (MODE) to achieve a numerically efficient multi- objective optimization algorithm. The basis functions of the ADTK are optimally, adaptively and dynamically selected so that the Kriging model may have better accuracy than any other Kriging model, and the MODE has an improved mutation algo- rithm.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Electronics and Communications |
| Divisions: | Faculty of Electronics and Telecommunications (FET) |
| Depositing User: | Dr Minh Trien Pham |
| Date Deposited: | 13 Dec 2018 09:28 |
| Last Modified: | 13 Dec 2018 09:28 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3251 |
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