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Three Proposed Hybrid Genetic Algorithms | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 4, Volume 10, Issue 1, 2013, Pages 53-64 PDF (414.14 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163424 | ||
| Authors | ||
| Ban A. Mitras1; Nada F. Hassan2 | ||
| 1College of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq | ||
| 2College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| Genetic Algorithm has been hybridized with classical optimization methods. Hybridization has been done in three approaches, by using conjugate gradient algorithm for Fletcher and Reeves, second by using steepest descent method and lastly by creation of initial population for genetic algorithm from one of conjugate gradient method, the numerical results were encouraging. | ||
| Keywords | ||
| genetic algorithm; conjugate gradient method; and steepest descent method | ||
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