ANDYMARK: An Analytical Method to Establish Dynamically the Length of the Markov Chain in Simulated Annealing for the Satisfiability Problem

Author:

Frausto-Solís Juan,Sanvicente-Sánchez Héctor,Imperial-Valenzuela Froilán

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science 220(4598), 671–680 (1983)

2. Cerny, V.: Thermodynamical Approach to the Traveling Salesman Problem: an Efficient Simulation Algorithm. Journal of Optimization Theory and Applications 45, 41–51 (1985)

3. Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equation of State Calculations by Fast Computing Machines. Chem. Phys. 21, 1087–1092 (1953)

4. Lecture Notes in Computer Science;H. Sanvicente-Sánchez,2004

5. Aarts, E., Korst, J.: Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing, p. 272. John Wiley & Sons, Inc., New York (1989)

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