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 |
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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)