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.
Original language | English |
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Article number | s6 |
Pages (from-to) | 56-64 |
Number of pages | 9 |
Journal | COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering |
Volume | 33 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Keywords
- Design optimization
- Evolutionary algorithm
- Inverse problems
- Numerical methodology
ASJC Scopus subject areas
- Computer Science Applications
- Computational Theory and Mathematics
- Applied Mathematics
- Electrical and Electronic Engineering