Abstract
This paper proposes a simulated annealing algorithm for multiobjective optimizations of electromagnetic devices to find the Pareto solutions in a relatively simple manner. The algorithm is based on the successful introductions of the Pareto set as well as the parameter and objective space strings. The new rank formula and fitness-sharing functions together with the stop criterion and other improvements are investigated in the proposed method. Two numerical examples for validating the robustness of the proposed method are also reported.
| Original language | English |
|---|---|
| Pages (from-to) | 1285-1288 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Magnetics |
| Volume | 39 |
| Issue number | 3 I |
| DOIs | |
| Publication status | Published - 1 May 2003 |
Keywords
- Design optimization
- Grid algorithm
- Multiobjective optimization
- Simulated annealing
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Physics and Astronomy (miscellaneous)