Abstract
A new response surface model (RSM), the moving least squares (MLS) approximation, is proposed for reconstructing the objective/constraint functions for the design optimization of electromagnetic devices. The reconstructed functions are then combined with the simulated annealing (SA) algorithm to develop a computationally efficient technique to obtain the global solutions. The new method has: the "intelligence" to arrange the sample points, i.e. intensify the sample points in regions where a local optimum is likely to exist; the flexibility in dealing with irregular sample points; the self-adaptive ability to regulate the parameters of the MLS models. Detailed numerical examples are given to validate the proposed technique.
| Original language | English |
|---|---|
| Pages (from-to) | 604-614 |
| Number of pages | 11 |
| Journal | COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 9 Oct 2002 |
Keywords
- Algorithms
- Model
- Optimization
- Simulation
- Surfaces
ASJC Scopus subject areas
- Computer Science Applications
- Computational Theory and Mathematics
- Applied Mathematics
- Electrical and Electronic Engineering