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An adaptive simulated annealing algorithm

Author

Listed:
  • Gong, Guanglu
  • Liu, Yong
  • Qian, Minping

Abstract

In this paper, inspired by the idea of Metropolis algorithm, a new sample adaptive simulated annealing algorithm is constructed on finite state space. This new algorithm can be considered as a substitute of the annealing of iterative stochastic schemes. The convergence of the algorithm is shown.

Suggested Citation

  • Gong, Guanglu & Liu, Yong & Qian, Minping, 2001. "An adaptive simulated annealing algorithm," Stochastic Processes and their Applications, Elsevier, vol. 94(1), pages 95-103, July.
    • Handle: RePEc:eee:spapps:v:94:y:2001:i:1:p:95-103
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    Cited by:

    1. B Suman & P Kumar, 2006. "A survey of simulated annealing as a tool for single and multiobjective optimization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1143-1160, October.

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