The purpose of this paper is to explore the potential challenges in developing numerical methodologies for inverse problems and optimizations.
Summarizing previous research results mainly contributed by two research groups of Zhejiang University and Hong Kong Polytechnic University.
Computational intelligence plays an essential role in studying inverse problems and optimizations.
An up-to-date review on the current status of numerical methodologies, especially computational intelligences, for inverse problems and optimizations contributed by Chinese researchers.
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.
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-11-2012-0335Download as .RIS
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