Hybrid Multilayer Evolutionary Algorithms and Its Applications in Optimization

Babaeizadeh, Mohammad | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40340 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Bagheri Shouraki, Saeed
  7. Abstract:
  8. Evolutionary algorithms have gradually established a strong foothold as powerful search methods and have been widely applied to solve problems in many disciplines. By the way the performance of these algorithms in hierarchical applications is not satisfying. In order to improve the performance and applicability, numerous sophisticated mechanisms have been introduced and integrated into EAs. In this thesis we have tried to implement a multilayer evolutionary algorithm in order to overcome the problem. The practical results show this improvement any various aspects.

  9. Keywords:
  10. Evolutionary Algorithm ; Optimization ; Hierarchical Structure ; Linkage Learning

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