• DocumentCode
    2739347
  • Title

    BOA: A novel optimization algorithm

  • Author

    Salem, Sameh A.

  • Author_Institution
    Department of Communications, Electronics and Computer, Faculty of Engineering, Helwan University, Cairo, Egypt
  • fYear
    2012
  • fDate
    10-11 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a novel algorithm for multimodal function optimization is proposed, which is called Base Optimization Algorithm (BOA). The proposed algorithm uses a combination of basic arithmetic operators along with a displacement parameter to guide and redirect the solutions towards the optimum point. The efficiency of the new algorithm is demonstrated using standard benchmark functions. A comparison of the results with those of other evolutionary algorithms shows that the proposed algorithm outperforms its competitors.
  • Keywords
    evolutionary computation; BOA; base optimization algorithm; basic arithmetic operators; displacement parameter; evolutionary algorithms; multimodal function optimization; novel optimization algorithm; standard benchmark functions; Algorithm design and analysis; Benchmark testing; Educational institutions; Genetic algorithms; Linear programming; Optimization; Particle swarm optimization; Evolutionary computations; Optimization; multimodal functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Technology (ICET), 2012 International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4673-4808-9
  • Type

    conf

  • DOI
    10.1109/ICEngTechnol.2012.6396156
  • Filename
    6396156