Dependency Identification technique for large scale optimization problems

Faculty Computer Science Year: 2012
Type of Publication: ZU Hosted Pages: 1 - 8
Authors:
Eman samir hasan sayed
Journal: (IEEE, Congress on Evolutionary Computation (CEC 2012 IEEE Volume:
Keywords : Dependency Identification technique , large scale optimization    
Abstract:
Large scale optimization problems are very challenging problems. Most of the recently developed optimization algorithms lose their efficiency when the dimensionality of the problems increases. Decomposing a large scale problem into smaller
    
     
 
       

Author Related Publications

  • Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012 More
  • Eman samir hasan sayed, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007 More
  • Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
  • Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014 More
  • Eman samir hasan sayed, "Large Scale Optimization based on self-directed Local Search", ASOR Bulletin, 2011 More

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