Decomposition-based evolutionary algorithm for large scale constrained problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Information Sciences Elsevier Inc Volume:
Keywords : Decomposition-based evolutionary algorithm , large scale constrained    
Abstract:
Abstract Cooperative Coevolutionary algorithms (CC) have been successful in solving large scale optimization problems. The performance of CC can be improved by decreasing the number of interdependent variables among decomposed subproblems.
   
     
 
       

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  • 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, "Dependency Identification technique for large scale optimization problems", IEEE, 2012 More
  • Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
  • Eman samir hasan sayed, "Large Scale Optimization based on self-directed Local Search", ASOR Bulletin, 2011 More

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