A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Abdel Basset Metwally Attia
Journal: Advanced Engineering Technology and Application An International Journal Natural Sciences Publishing Cor. Volume:
Keywords : , , Hybrid Flower Pollination Algorithm , Solving Constrained    
Abstract:
Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants .In this paper, a new hybrid optimi
    
     
 
       

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Department Related Publications

  • Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019 More
  • 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
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