Journal Paper

Paper Information

Journal:
Year:0 | Volume: | Issue:
Start Page: | End Page:

video

sound

Persian Version

View:

19,739

Download:

12,590

Cites:

Information Journal Paper

Title

STOCHASTIC OPTIMIZATION USING CONTINUOUS ACTION-SET LEARNING AUTOMATA

Writers

BEYGY H. | MEYBODI M.R.

Pages

 Start Page 14 | End Page 25

Keywords

Not Registered.

Abstract

 In this paper, an adaptive random search method, based on continuous action-set learning automata, is studied for solving stochastic optimization problems in which only the noise-corrupted value of a function at any chosen point in the parameter space is available. First, a new continuous action-set learning automaton is introduced and its convergence properties are studied. Then, applications of this new continuous action-set learning automata to the minimization of a penalized Shubert function and pattern classification are presented.

Cites

  • No record.
  • References

  • No record.
  • Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops