Solving 0–1 Knapsack Problems by Binary Dragonfly Algorithm

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Abdel Basset Metwally Attia
Journal: ICIC 2017: Intelligent Computing Methodologies pp 491-502 Springer Volume:
Keywords : Solving , Knapsack Problems , Binary Dragonfly Algorithm    
Abstract:
The 0–1 knapsack problem (0–1KP) is a well-known combinatorial optimization problem. It is an NP-hard problem which plays significant roles in many real life applications. Dragonfly algorithm (DA) a novel swarm intelligence optimization alg
    
     
 
       

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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
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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
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