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Studies on numerical methodologies for inverse problems and optimizations in China

Shiyou Yang (College of Electrical Engineering, Zhejiang University, Hangzhou, China)
S.L. Ho (Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Yingying Yao (College of Electrical Engineering, Zhejiang University, Hangzhou, China)
Lei Liu (College of Electrical Engineering, Zhejiang University, Hangzhou, China)
Lie Wu (College of Electrical Engineering, Zhejiang University, Hangzhou, China)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

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

  • Evolutionary algorithm
  • Design optimization
  • Inverse problems
  • Numerical methodology

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

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Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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