Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators

Faculty Computer Science Year: 2012
Type of Publication: ZU Hosted Pages:
Authors:
Saber Mohamed
Journal: Computational Optimization and Applications Springer Volume: 771-790
Keywords : Self-Adaptive Differential Evolution Incorporating , Heuristic Mixing    
Abstract:
A considerable number of differential evolution variants have been proposed in the last few decades. However, no variant was able to consistently perform over a wide range of test problems. In this paper, propose two novel differential evol
    
     
 
       

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, "Sequence-based Deterministic Initialization for Evolutionary Algorithms", IEEE, 2016 More
  • Mohammed Abdel Basset Metwally Attia, "Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm", Computational Intelligence and Neuroscience, 2016 More
  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
  • Saber Mohamed, "Testing United Multi-Operator Evolutionary Algorithms on The CEC2014 Real-Parameter Numerical Optimization", IEEE, 2014 More
  • Saber Mohamed, "GA with a New Multi-Parent Crossover for Constrained Optimization", IEEE, 2011 More
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