A modified nature inspired meta-heuristic whale optimization algorithm for solving 0–1 knapsack problem

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Doaa El-Shahat Barakat Mohammed
Journal: International Journal of Machine Learning and Cybernetics Springer Berlin Heidelberg Volume:
Keywords : , modified nature inspired meta-heuristic whale optimization algorithm    
Abstract:
The Whale optimization algorithm (WOA) is one of the most recent nature-inspired meta-heuristic optimization algorithms, which simulates the social character of the humpback whales. WOA has an efficient performance in solving the contin
    
     
 
       

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, "A modified flower pollination algorithm for the multidimensional knapsack problem: human-centric decision making", Springer, 2017 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 Novel Whale Optimization Algorithm for Cryptanalysis in Merkle-Hellman Cryptosystem", Springer, 2018 More

Department Related Publications

  • Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019 More
  • Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014 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, "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
Tweet