Evolutionary Algorithms for Power Generation Planning with Uncertain Renewable Energy

Faculty Computer Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Energy Elsevier Volume:
Keywords : Evolutionary Algorithms , Power Generation Planning with    
Abstract:
To achieve optimal generation from a number of mixed power plants by minimizing the operational cost while meeting the electricity demand is a challenging optimization problem. When the system involves uncertain renewable energy, the proble
   
     
 
       

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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

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  • Mohammed Abdel Basset Metwally Attia, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016 More
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  • Zeenat Mohammed Ahmed Mohammed, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016 More
  • mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013 More
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