A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Laila Abdel Fattah Shawqi Ibrahim
Journal: Library Hi Tech emerald insight Volume:
Keywords : , comparative study , cuckoo search , , flower pollination    
Abstract:
Purpose The purpose of this paper is to present a comparison between two well-known Lévy-based meta-heuristics called cuckoo search (CS) and flower pollination algorithm (FPA). Design/methodology/approach Both the algorithms (Lévy-base
    
     
 
       

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, "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
  • Laila Abdel Fattah Shawqi Ibrahim, "Grid quorum‐based spatial coverage in mobile wireless sensor networks using nature‐inspired firefly algorithm", John Wiley & Sons, 2019 More

Department Related Publications

  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
  • Saber Mohamed, "Testing United Multi-Operator Evolutionary Algorithms on The CEC2014 Real-Parameter Numerical Optimization", IEEE, 2014 More
  • Saber Mohamed, "GA with a New Multi-Parent Crossover for Constrained Optimization", IEEE, 2011 More
  • Eman samir hasan sayed, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007 More
  • Israa Abdel Ghaffar Salem Mohammed, "Estimating Bed Requirements for a Pediatric Department in a University Hospital in Egypt", Modern Management Science & Engineering, 2016 More
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