• DocumentCode
    1643555
  • Title

    Eagle strategy with flower algorithm

  • Author

    Xin-She Yang ; Deb, Sujay ; Xingshi He

  • Author_Institution
    Sch. of Sci. & Technol., Middlesex Univ., London, UK
  • fYear
    2013
  • Firstpage
    1213
  • Lastpage
    1217
  • Abstract
    For any metaheuristic algorithm, it is important to balance exploration and exploitation because the interaction of these two key components can significantly affect the efficiency. However, how to achieve a fine balance is still an open problem. We attempt to explore this challenging issue by using eagle strategy in combination with the recently developed flower algorithm. Our results on test benchmarks suggest that more effort should focus on explorative search for multimodal problems.
  • Keywords
    optimisation; search problems; eagle strategy; exploitation; exploration; explorative search; flower algorithm; metaheuristic algorithm; multimodal problem; Algorithm design and analysis; Benchmark testing; Optimization; Particle swarm optimization; Search problems; Space exploration; Switches; Eagle strategy; flower algorithm; metaheuristic; nature-inspired algorithm; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
  • Conference_Location
    Mysore
  • Print_ISBN
    978-1-4799-2432-5
  • Type

    conf

  • DOI
    10.1109/ICACCI.2013.6637350
  • Filename
    6637350