Evolutionary Algorithms for Dynamic Economic Dispatch Problems

Faculty Computer Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Journal: IEEE Transactions on Power Systems http://ieeexplore.ieee.org/document/7106576/?part=1 Volume:
Keywords : Evolutionary Algorithms , Dynamic Economic Dispatch Problems    
Abstract:
Over the last few decades, the rapid increase in the use of fossil fuel has led to a consequential worldwide reduction in this resource. Therefore, its optimal utilization in power generation has become an important research topic [1]. Sinc
   
     
 
       

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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, "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, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014 More
  • Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011 More
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  • mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014 More
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