Using Metaheuristic Algorithms for Solving Combinatorial Optimization Problems

Faculty Computer Science Year: 2024
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Volume:
Keywords : Using Metaheuristic Algorithms , Solving Combinatorial Optimization    
Abstract:
Combinatorial optimization problems are a subject of extensive research because of its importance in the theoretical and practical domain. This thesis introduced two improved metaheuristic algorithms "Elite Opposition- Flower Pollination Al
   
     
 
       

Author Related Publications

  • Laila Abdel Fattah Shawqi Ibrahim, "Elite opposition-flower pollination algorithm for quadratic assignment problem", IOS press, 2017 More
  • Laila Abdel Fattah Shawqi Ibrahim, "A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems", emerald insight, 2017 More
  • Laila Abdel Fattah Shawqi Ibrahim, "Metaheuristic Algorithms: A Comprehensive Review", Elsevier‏, 2018 More
  • Laila Abdel Fattah Shawqi Ibrahim, "A comprehensive study of cuckoo-inspired algorithms", Springer‏, 2018 More
  • Laila Abdel Fattah Shawqi Ibrahim, "An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems", Springer‏, 2018 More

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