relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3251/
title: Utilizing Adaptive Dynamic Taylor Kriging Assisted Multi-Objective DE Algorithm for Optimization Design of Electromagnetic Device
creator: Bin, Xia
creator: Pham, Minh Trien
creator: Zhang, Yanli
creator: Koh, Chang Seop
subject: Electronics and Communications
description: 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
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3251/1/1-ADTK_DE.pdf
identifier:   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)  
relation: http://www.cefc2018.org/system/Web/ueditor/asp/upload/file/20181008/15389866299155943.pdf