• DocumentCode
    3863506
  • Title

    A novel hybrid penguins search optimization algorithm to solve travelling salesman problem

  • Author

    Ilyass Mzili;Morad Bouzidi;Mohammed Essaid Riffi

  • Author_Institution
    Computer Science Dept Faculty of Sciences, Choua?b Doukkali University, El Jadida, Morocco
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Metaheuristics form a family of optimization algorithms for solving combinatorial optimization problems by applying the research procedures to quickly find a good approximation of the best solution. In this paper we proposed a new metaheuristic novel hybrid penguins search optimization algorithm (NPeSOA) which is based on the combination of penguins search optimization algorithm (PeSOA) and harmony search algorithm (HS) to solve the Travelling Salesman Problem. The search for harmony was added to improve the research technique of PeSOA method. The results of this experience are tested by the instances of TSPLib, and compared with the methods of PeSOA and HS to show the efficiency of NPeSOA.
  • Keywords
    "Optimization","Search problems","Sociology","Statistics","Traveling salesman problems","Urban areas","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Complex Systems (WCCS), 2015 Third World Conference on
  • Type

    conf

  • DOI
    10.1109/ICoCS.2015.7483237
  • Filename
    7483237