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 |
|---|---|
| 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