Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks

Author:

López-Rodríguez Domingo,Mérida-Casermeiro Enrique,Galán-Marín Gloria,Ortiz-de-Lazcano-Lobato Juan M.

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Reinelt, G.: The Travelling Salesman. In: Computational Solutions for TSP Applications, Springer, Heidelberg (1994)

2. Bland, R., Shallcross, D.F.: Large traveling salesman problem arising from experiments in x-ray crystallography: a preliminary report on computation. Technical Report No. 730, School of OR/IE, Cornell University, Ithaca, New York (1987)

3. Potvin, J.: Genetic algorithms for the traveling salesman problem. Annals of Operations Research 63, 339–370 (1996)

4. Aarts, E., Korst, J., Laarhoven, P.: A quantitative analysis of the simulated annealing algorithm: A case study for the traveling salesman problem. J. Stats. Phys. 50, 189–206 (1988)

5. Fiechter, C.: A parallel tabu search algorithm for large scale traveling salesman problems. Technical Report 90/1, Department of Mathematics, Ecole Polytechnique Federale de Lausanne, Switzerland (1990)

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