eprintid: 3251
rev_number: 8
eprint_status: archive
userid: 11
dir: disk0/00/00/32/51
datestamp: 2018-12-13 09:28:52
lastmod: 2018-12-13 09:28:52
status_changed: 2018-12-13 09:28:52
type: conference_item
metadata_visibility: show
creators_name: Bin, Xia
creators_name: Pham, Minh Trien
creators_name: Zhang, Yanli
creators_name: Koh, Chang Seop
creators_id: tiandixiabin@163.com
creators_id: trienpm@vnu.edu.vn
creators_id: kohcs@cbnu.ac.kr
title: Utilizing Adaptive Dynamic Taylor Kriging Assisted Multi-Objective DE Algorithm for Optimization Design of Electromagnetic Device
ispublished: inpress
subjects: ECE
divisions: fac_fet
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.
date: 2018-10-28
date_type: submitted
official_url: http://www.cefc2018.org/system/Web/ueditor/asp/upload/file/20181008/15389866299155943.pdf
full_text_status: public
pres_type: paper
event_title: 2018 the Eighteenth Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2018)
event_location: Hangzhou, China
event_dates: 28-31 October 2018
event_type: conference
refereed: TRUE
citation:   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)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3251/1/1-ADTK_DE.pdf