| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] Univ Sao Paulo, Escola Politecn, LMAG PEA, Lab Eletromagnetismo Aplicado, BR-05508900 Sao Paulo - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Magnetics; v. 50, n. 2 FEB 2014. |
| Web of Science Citations: | 17 |
| Abstract | |
The differential evolution (DE) algorithm belongs to a class of evolutionary techniques that use the stochastic approach to solve optimization problems. Storn and Price proposed it in its mono-objective form, and since then it has yielded good results, such as faster global convergence, when compared with other classical evolutionary algorithms. A multi-objective approach is proposed here, combining the DE evolutionary mechanism with concepts extracted from the strength Pareto evolutionary algorithms (SPEAs), proposed by Zitzler and Theile. This approach was applied to test functions and electromagnetic problems to demonstrate its reliability. (AU) | |
| FAPESP's process: | 11/19528-0 - The implementation of differential evolution algorithm in a platform optimization |
| Grantee: | Gustavo Caravaggi Tenaglia |
| Support Opportunities: | Scholarships abroad - Research Internship - Scientific Initiation |
| FAPESP's process: | 11/00249-3 - Differential evolution applied to the electric devices design |
| Grantee: | Gustavo Caravaggi Tenaglia |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |