A modified flower pollination algorithm for the multidimensional knapsack problem: human-centric decision making

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages: 1-19
Authors:
Journal: Soft Computing Springer Volume:
Keywords : , modified flower pollination algorithm , , multidimensional knapsack    
Abstract:
In this paper, a new modified version of the flower pollination algorithm based on the crossover for solving the multidimensional knapsack problems called (MFPA) is proposed. MFPA uses the sigmoid function as a discretization method to deal
   
     
 
       

Author Related Publications

  • Doaa El-Shahat Barakat Mohammed, "Solving 0–1 knapsack problem by binary flower pollination algorithm", Springer, 2018 More
  • Doaa El-Shahat Barakat Mohammed, "Integrating the whale algorithm with Tabu search for quadratic assignment problem: A new approach for locating hospital departments", Elsevier, 2018 More
  • Doaa El-Shahat Barakat Mohammed, "A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem", North-Holland, 2018 More
  • Doaa El-Shahat Barakat Mohammed, "A modified nature inspired meta-heuristic whale optimization algorithm for solving 0–1 knapsack problem", Springer Berlin Heidelberg, 2017 More
  • Doaa El-Shahat Barakat Mohammed, "A Novel Whale Optimization Algorithm for Cryptanalysis in Merkle-Hellman Cryptosystem", Springer, 2018 More

Department Related Publications

  • Ahmed Raafat Abass Mohamed Saliem, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
  • Ahmed Raafat Abass Mohamed Saliem, "On determining efficient finite mixture models with compact and essential components for clustering data", ScienceDirect, 2013 More
  • Ahmed Raafat Abass Mohamed Saliem, "Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data", ScienceDirect, 2012 More
Tweet