A constraint consensus memetic algorithm for solving constrained optimization problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Noha Mohamed Ibrahiem Mohamed Hamza
Journal: Engineering Optimization Taylor & Francis Volume:
Keywords : , constraint consensus memetic algorithm , solving constrained    
Abstract:
Constraint handling is an important aspect of evolutionary constrained optimization. Currently, the mechanism used for constraint handling with evolutionary algorithms mainly assists the selection process, but not the actual searc
    
     
 
       

Author Related Publications

  • Noha Mohamed Ibrahiem Mohamed Hamza, "Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization", IEEE, 2016 More

Department Related Publications

  • Saber Mohamed, "A Constraint Consensus Memetic Algorithm for Solving Constrained Optimization Problems", Taylor & Francis, 2013 More
  • Saber Mohamed, "Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators", Springer, 2012 More
  • Eman samir hasan sayed, "Large Scale Optimization based on self-directed Local Search", ASOR Bulletin, 2011 More
  • Asmaa Atef Hassan El Sayed, "Project Scheduling: Survey and Research Potentials", International Journal of Computer Applications Technology and Research Volume 4– Issue 4, 235 - 241, 2015, ISSN:- 2319–8656, 2015 More
  • Saber Mohamed, "Configuring Two-algorithm-based Evolutionary Approach for Solving Dynamic Economic Dispatch Problems", Elsevier, 2016 More
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