| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4632227 | Applied Mathematics and Computation | 2009 | 10 Pages |
Abstract
Two modified versions of the authors’ recent differential evolution algorithm for constrained global optimization are proposed. They incorporate a filter set which results in more efficient implementations of the original algorithm. Numerical results are presented which suggest that the new algorithms are competitive.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
M.M. Ali, Z. Kajee-Bagdadi,