Sequence-based Deterministic Initialization for Evolutionary Algorithms

Faculty Computer Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Saber Mohamed
Journal: IEEE Transactions on Cybernetics IEEE Volume:
Keywords : Sequence-based Deterministic Initialization , Evolutionary Algorithms    
Abstract:
It is well known that the performances of evolutionary algorithms are influenced by the quality of their initial populations. Over the years, many different techniques for generating an initial population by uniformly covering as much of th
    
     
 
       

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, "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
  • 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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