Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization

Faculty Computer Science Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Noha Mohamed Ibrahiem Mohamed Hamza
Journal: IEEE Transactions on Evolutionary Computation IEEE Volume:
Keywords : Constraint Consensus Mutation-Based Differential Evolution , Constrained    
Abstract:
Until now, numerous mutation strategies have been introduced as search operators within the differential evolution (DE) algorithm. These operators are designed mainly to improve fitness value while also maintaining diversity in the populati
    
     
 
       

Author Related Publications

  • Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014 More

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
  • 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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