| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1741291 | Progress in Nuclear Energy | 2011 | 8 Pages |
Abstract
⺠The EICGA performs very well and is comparative to traditional GA. ⺠The comparative performance of EICGA shows that the algorithm is quiet promising. ⺠It is found that hybrid mutation causes improvement of escape from local optimal values. ⺠All fitness values of EICGA program are close to optimal value.
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Authors
A. Norouzi, A. Zolfaghari, A.H. Minuchehr, F. Khoshahval,