An Improved Most Valuable Player Algorithm with Twice Training Mechanism

Faculty Computer Science Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Lecture Notes in Computer Science Springer‏ Volume:
Keywords : , Improved Most Valuable Player Algorithm with    
Abstract:
The most valuable player algorithm is inspired from these players who want to win the Most Valuable Player (MVP) trophy, it have higher overall success percentage. Teaching-learning-based optimization (TLBO) simulates the process of teachin
   
     
 
       

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Department Related Publications

  • Saber Mohamed, "Evolving the Parameters of Differential Evolution using Evolutionary Algorithms", Springer, 2014 More
  • Saber Mohamed, "A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization", Springer, 2010 More
  • Saber Mohamed, "Differential Evolution with Multiple Strategies for Solving CEC2011 Real-world Numerical Optimization Problems", IEEE, 2011 More
  • 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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