Skip to main content
Log in

Singular perturbed Markov chains and exact behaviors of simulated annealing processes

  • Published:
Journal of Theoretical Probability Aims and scope Submit manuscript

Abstract

We study asymptotic properties of discrete and continuous time generalized simulated annealing processesX(·) by considering a class of singular perturbed Markov chains which are closely related to the large deviation of perturbed diffusion processes. Convergence ofX(t) in probability to a setS 0 of desired states, e.g., the set of global minima, and in distribution to a probability concentrated onS 0 are studied. The corresponding two critical constants denoted byd and Λ withd≤Λ are given explicitly. When the cooling schedule is of the formc/logt, X(t) converges weakly forc>0. Whether the weak limit depends onX(0) or concentrates onS 0 is determined by the relation betweenc, d, and Λ. Whenc>Λ, the expression for the rate of convergence for each state is also derived.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Cerny, V. (1982).A Thermodynamical Approach to the Traveling Salesman Problem: An Efficient Simulation Algorithm, Institute of Physics and Biophysics, Comenius University, Bratislava, Czechoslovakia.

    Google Scholar 

  2. Chiang, T.-S., and Chow, Y. (1988). On the convergence rate of annealing processes.SIAM J. Control Opt. 17, 1455–1470.

    Google Scholar 

  3. Chiang, T.-S., and Chow, Y. (1989). A limit theorem for a class of inhomogeneous Markov processes.Ann. Prob. 17, 1483–1502.

    Google Scholar 

  4. Chiang, T.-S., Hwang, C.-R., and Sheu, S.-J. (1987). Diffusion for global optimization in ℝn.SIAM J. Control Opt. 25, 737–753.

    Google Scholar 

  5. Freidlin, M. I., and Wentzell, A. D. (1984).Random Perturbations of Dynamical Systems, Springer-Verlag, New York.

    Google Scholar 

  6. Geman, S., and Geman, D. (1984). Stochastic relaxation, Gibbs distribution, and the Baysian restoration of images.IEEE Trans. Pattern Anal. Mach. Intel. 6, 721–741.

    Google Scholar 

  7. Geman, S., and Hwang, C.-R. (1986). Diffusion for global optimization.SIAM J. Control Opt. 24, 1031–1043.

    Google Scholar 

  8. Gihman, I. I., and Shorohod, A. V. (1975).The Theory of Stochastic Processes II. Springer-Verlag, New York.

    Google Scholar 

  9. Hajek, B. (1985). Cooling schedules for optimal annealing.Math. Oper. Res. 13, 311–329.

    Google Scholar 

  10. Hwang, C.-R., and Sheu, S.-J. (1989). On the weak reversibility condition in simulated annealing.Soochow J. Math. 15, 159–170.

    Google Scholar 

  11. Hwang, C.-R., and Sheu, S.-J. (1990). Large-time behavior of perturbed diffusion Markov processes with applications to the second eigenvalue problem for Fokker-Planck operators and simulated annealing.Acta Appl. Math. 19, 253–295.

    Google Scholar 

  12. Kirkpatrick, S., Gelatt, C. D., and Veochi, M. P. (1983). Optimization by simulated annealing.Science 220, 671–680.

    Google Scholar 

  13. Tsitsiklis, J. (1985).Markov Chains with Rare Transitions and Simulated Annealing, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA.

    Google Scholar 

  14. van Laarhoven, P. J. M., and Aarts, E. M. L. (1987).Simulated Annealing: Theory and Applications, D. Reidel, Dordrecht.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hwang, CR., Sheu, SJ. Singular perturbed Markov chains and exact behaviors of simulated annealing processes. J Theor Probab 5, 223–249 (1992). https://doi.org/10.1007/BF01046734

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01046734

Key Words

Navigation