Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26460
Title: Multiobjective optimization of inverse problems using a vector cross entropy method
Authors: Ho, SL 
Yang, S
Keywords: Cross entropy method
Inverse problem
Multiobjective optimization
Vector optimal algorithm
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2012, v. 48, no. 2, 6136631, p. 247-250 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: To develop an effective vector cross entropy method, multiple probability density functions are introduced; measures to consider both the number of improvements in the objective functions and the amount of improvements in a specified objective function are proposed. An information sharing mechanism is also designed. To demonstrate and showcase the feasibility and advantage of the proposed algorithm, both high and low frequency inverse problems are solved and reported in this paper.
URI: http://hdl.handle.net/10397/26460
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2011.2175437
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Feb 19, 2019

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Feb 18, 2019

Page view(s)

58
Last Week
0
Last month
Citations as of Feb 18, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.