The influence of the Initial Number of Feasible Solutions on the Performance of Evolutionary Optimization Algorithm

Faculty Computer Science Year: 2012
Type of Publication: ZU Hosted Pages:
Authors:
Saber Mohamed
Journal: International Conference on Simulated Evolution and Learning (SEAL2012) Springer Volume:
Keywords : , influence , , Initial Number , Feasible Solutions , , Performance    
Abstract:
The influence of the Initial Number of Feasible Solutions on the Performance of Evolutionary Optimization Algorithm
    
     
 
       

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

  • Karam mohamed goda, "Hybrid Gene Selection Methods of Microarray Data for Cancer Classification", International Journal of Graphics & Image Processing |Vol 2|issue 3|August 2012 , 2013 More
  • Saber Mohamed, "Evolving the Parameters of Differential Evolution using Evolutionary Algorithms", Springer, 2014 More
  • Saber Mohamed, "A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization", Springer, 2010 More
  • Saber Mohamed, "Differential Evolution with Multiple Strategies for Solving CEC2011 Real-world Numerical Optimization Problems", IEEE, 2011 More
  • Eman samir hasan sayed, "Dependency Identification technique for large scale optimization problems", IEEE, 2012 More
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