A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization

Faculty Computer Science Year: 2010
Type of Publication: ZU Hosted Pages:
Authors:
Saber Mohamed
Journal: International Conference on Simulated Evolution and Learning (SEAL2010) Springer Volume:
Keywords : , Comparative Study , Different Variants , Genetic Algorithms    
Abstract:
A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization
    
     
 
       

Author Related Publications

  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
  • Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014 More
  • Saber Mohamed, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014 More
  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More

Department Related Publications

  • Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014 More
  • Saber Mohamed, "A Decomposition-based Evolutionary Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
  • Saber Mohamed, "Integrated Strategies Differential Evolution Algorithm with a Local Search for Constrained Optimization", IEEE, 2011 More
  • Mohammed Abdel Basset Metwally Attia, "A novel group decision-making model based on triangular neutrosophic numbers", Springer‏, 2018 More
  • Mai Mohammed Abdul Sattar Jaafar, "A novel group decision-making model based on triangular neutrosophic numbers", Springer‏, 2018 More
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