• Title of article

    Random gravitational emulation search algorithm (RGES (in scheduling traveling salesman problem

  • Author/Authors

    Sheibat Alhamdi Seyed, ahmad Azad University of Tehran(North-Tehran) , Hosseinzadeh Kashani, Alireza Sheibat Alhamdi Seyed

  • Pages
    10
  • From page
    103
  • To page
    112
  • Abstract
    this article proposes a new algorithm for finding a good approximate set of non-dominated solutions for solving generalized traveling salesman problem. Random gravitational emulation search algorithm (RGES (is presented for solving traveling salesman problem. The algorithm based on random search concepts, and uses two parameters, speed and force of gravity in physics. The proposed algorithm is compared with genetic algorithm and experimental results show that the proposed algorithm has better performance and less runtime to be answered.
  • Keywords
    gravitational emulation search , force of gravity , traveling salesman problem
  • Journal title
    Astroparticle Physics
  • Serial Year
    2018
  • Record number

    2473794