• DocumentCode
    324559
  • Title

    Rescaled simulated annealing

  • Author

    Hérault, L.

  • Author_Institution
    CEA, Centre d´´Etudes Nucleaires de Grenoble, France
  • Volume
    2
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    1239
  • Abstract
    Presents a new metaheuristic called rescaled simulated annealing (RSA). It is based on a generic modification of the Metropolis procedure inside the simulated annealing (SA) algorithm. This modification consists in rescaling, before applying the Metropolis criterion, the energies of the states candidate to a transition. The direct consequence is an acceleration of convergence, by avoiding the dive and escape from high energy local minima. Asymptotic results are established and favorably compared to the famous ones due to Mitra et al. for SA (1986). Some practical implementations are presented for the traveling salesman problem and results are compared to those obtained with SA. Less transitions need to be tested with RSA to obtain results of similar quality. As a corollary, within a limited computational effort, RSA provides better quality solutions than SA
  • Keywords
    acceleration; convergence; simulated annealing; travelling salesman problems; Metropolis procedure; metaheuristic; rescaled simulated annealing; traveling salesman problem; Acceleration; Computational modeling; Computer networks; Convergence; Cooling; Neural networks; Simulated annealing; Temperature; Testing; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.685951
  • Filename
    685951