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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.
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: Jan 1, 2014
Keywords: Evolutionary algorithm; Design optimization; Inverse problems; Numerical methodology
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