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Stochastic Global Optimization: Stopping Rules

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Encyclopedia of Optimization

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References

  1. Betrò B, Schoen F (1987) Sequential stopping rules for the multistart algorithm in global optimisation. Math Program 38:271–286

    Article  MATH  Google Scholar 

  2. Betrò B, Schoen F (1992) Optimal and suboptimal stopping rules for the multistart algorithm in global optimisation. Math Program 57:445–458

    Article  MATH  Google Scholar 

  3. Boender CGE, Rinnooy Kan AHG (1987) Bayesian stopping rules for multistart global optimization methods. Math Program 37:59–80

    Article  MathSciNet  MATH  Google Scholar 

  4. Boender CGE, Rinnooy Kan AHG (1991) On when to stop sampling for the maximum. J Global Optim 1(4):331–340

    Article  MathSciNet  MATH  Google Scholar 

  5. Ferguson TS, Phadia EG (1979) Bayesian nonparametric estimation based on censored data. Ann Statist 7:163–186

    Article  MathSciNet  MATH  Google Scholar 

  6. Hart WE (1998) Sequential stopping rules for random optimization methods with applications to multistart local search. SIAM J Optim 9:270–290

    Article  MathSciNet  MATH  Google Scholar 

  7. Locatelli M, Schoen F (1995) An adaptive stochastic global optimization algorithm for one-dimensional functions. Ann Oper Res 58:263–278

    Article  MathSciNet  MATH  Google Scholar 

  8. Piccioni M, Ramponi A (1990) Stopping rules for the multistart method when different local minima have different function values. Optim 21:697–707

    Article  MathSciNet  MATH  Google Scholar 

  9. Zieliński R (1981) A statistical estimate of the structure of multiextremal functions. Math Program 21:348–356

    Article  MATH  Google Scholar 

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© 2008 Springer-Verlag

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Schoen, F. (2008). Stochastic Global Optimization: Stopping Rules . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_647

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