Studies on numerical methodologies for inverse problems and optimizations in China
ISSN: 0332-1649
Article publication date: 1 January 2014
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.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China (NSFC) under Grant No. 51077114, and by the Science and Technology Department of Zhejiang Province under Grant No. 2011C11062.
Citation
Yang, S., Ho, S.L., Yao, Y., Liu, L. and Wu, L. (2014), "Studies on numerical methodologies for inverse problems and optimizations in China", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 33 No. 1/2, pp. 56-64. https://doi.org/10.1108/COMPEL-11-2012-0335
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited