A Parallel Chemical Reaction Optimization for Multiple Choice Knapsack Problem

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Salah Mohamed Mostafa
Journal: Parallel Computational Fluid Dynamics Springer Berlin Heidelberg Volume:
Keywords : , Parallel Chemical Reaction Optimization , Multiple Choice    
Abstract:
This research proposed a new parallal algorithm based on chemical reaction optimization for multiple-choice knapsack problem (MCKP). In the proposed algorithm, master-slave parallel architecture is used and four problem-specific chemical re
    
     
 
       

Author Related Publications

  • Ahmed Salah Mohamed Mostafa, "Artificial Intelligence and Machine Learning-Driven Decision-Making", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Usages of Spark Framework with Different Machine Learning Algorithms", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Efficient index-independent approaches for the collective spatial keyword queries", elsevier, 2021 More
  • Ahmed Salah Mohamed Mostafa, "A robust UWSN handover prediction system using ensemble learning", MDPI, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods", Tech Science Press, 2021 More

Department Related Publications

  • Wael Said AbdelMageed Mohamed, "A novel 8-connected Pixel Identity GAN with Neutrosophic (ECP-IGANN) for missing imputation", Springer Nature Limited, 2024 More
  • Doaa El-Shahat Barakat Mohammed, "Assessment of deep learning techniques for bone fracture detection under neutrosophic domain", Publisher University of New Mexico, 2024 More
  • 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
Tweet