Title :
Rescaled simulated annealing
Author_Institution :
CEA, Centre d´´Etudes Nucleaires de Grenoble, France
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;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685951