Differential Evolution with Dynamic Parameters Selection for Optimization Problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Journal: IEEE Transactions on Evolutionary Computation IEEE Volume:
Keywords : Differential Evolution with Dynamic Parameters Selection    
Abstract:
Over the last few decades, a number of differential evolution (DE) algorithms have been proposed with excellent performance on mathematical benchmarks. However, like any other optimization algorithm, the success of DE is highly dependent on
   
     
 
       

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  • 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, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014 More
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Department Related Publications

  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
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  • Saber Mohamed, "GA with a New Multi-Parent Crossover for Constrained Optimization", IEEE, 2011 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
  • Israa Abdel Ghaffar Salem Mohammed, "Estimating Bed Requirements for a Pediatric Department in a University Hospital in Egypt", Modern Management Science & Engineering, 2016 More
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