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:
Authors:
Ibrahiem Mahmoud Mohamed Elhenawy
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

  • Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "Determining Extractive Summary for a Single Document Based on Collaborative Filtering Frequency Prediction and Mean Shift Clustering", International Association of Engineers, 2019 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "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
  • Ibrahiem Mahmoud Mohamed Elhenawy, "Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization", Springer, 2017 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "Solving 0–1 knapsack problem by binary flower pollination algorithm", Springer, 2018 More

Department Related Publications

  • Abdallah Gamal abdallah mahmoud, "Sustainable Flue Gas Treatment System Assessment for Iron and Steel Sector: Spherical Fuzzy MCDM-Based Innovative Multistage Approach", Hindawi, 2023 More
  • Abdallah Gamal abdallah mahmoud, "Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges", Elsevier, 2023 More
  • Ahmed Salah Mohamed Mostafa, "A novel hybrid deep learning model for price prediction", International Journal of Electrical and Computer Engineering (IJECE), 2023 More
  • Wael Said AbdelMageed Mohamed, "Menstrual cycle inspired latent diffusion model for image augmentation in energy production", Nature Portfolio, 2025 More
Tweet