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
   
     
 
       

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, "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
  • Saber Mohamed, "Adaptive Configuration of Evolutionary Algorithms for Constrained Optimization", ELSEVIER, 2013 More

Department Related Publications

  • Saber Mohamed, "The influence of the Initial Number of Feasible Solutions on the Performance of Evolutionary Optimization Algorithm", Springer, 2012 More
  • Saber Mohamed, "A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization", Springer, 2010 More
  • Saber Mohamed, "Improved Genetic Algorithm for Constrained Optimization", IEEE, 2011 More
  • Mai Mohammed Abdul Sattar Jaafar, "‎A Hybrid Neutrosophic Group ANP-TOPSIS Framework for Supplier Selection Problems", mdpi‏, 2018 More
  • Karam Mohamed Gohda Salam, "An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems", IEEE xplore, 2020 More
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