Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29999
Title: Studies on numerical methodologies for inverse problems and optimizations in China
Authors: Yang, S
Ho, SL 
Yao, Y
Liu, L
Wu, L
Keywords: Design optimization
Evolutionary algorithm
Inverse problems
Numerical methodology
Issue Date: 2014
Publisher: Emerald Group Publishing Ltd.
Source: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2014, v. 33, no. 1-2, s6, p. 56-64 How to cite?
Journal: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 
Abstract: Purpose - The purpose of this paper is to explore the potential challenges in developing numerical methodologies for inverse problems and optimizations. Design/methodology/approach - Summarizing previous research results mainly contributed by two research groups of Zhejiang University and Hong Kong Polytechnic University. Findings - Computational intelligence plays an essential role in studying inverse problems and optimizations. Originality/value - An up-to-date review on the current status of numerical methodologies, especially computational intelligences, for inverse problems and optimizations contributed by Chinese researchers.
URI: http://hdl.handle.net/10397/29999
ISSN: 0332-1649
DOI: 10.1108/COMPEL-11-2012-0335
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

1
Last Week
0
Last month
0
Citations as of Jul 28, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

47
Last Week
4
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



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