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Accelerations for global optimization covering methods using second derivatives

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Abstract

Two improvements for the algorithm of Breiman and Cutler are presented. Better envelopes can be built up using positive quadratic forms. Better utilization of first and second derivative information is attained by combining both global aspects of curvature and local aspects near the global optimum. The basis of the results is the geometric viewpoint developed by the first author and can be applied to a number of covering type methods. Improvements in convergence rates are demonstrated empirically on standard test functions.

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References

  1. W. Baritompa (1994), Accelerations for a Variety of Global Optimization Methods,J. Global Optimization 4, 37–45.

    Google Scholar 

  2. W. Baritompa (1993), Customizing Methods for Global Optimization — a Geometric Viewpoint,J. Global Optimization 3, 193–212.

    Google Scholar 

  3. Breiman and A. Cutler (1993), A Deterministic Algorithm for Global Optimization,Math. Prog. 58, 179–199.

    Google Scholar 

  4. Yu. G. Evtushenko (1971), Numerical Methods for Finding Global Extrema (Case of a Non-Uniform Mesh),USSR Comp. Math, and Math. Phys. 11 (6), 1390–1403.

    Google Scholar 

  5. R.H. Mladineo (1986), An Algorithm for Finding the Global Maximum of a Multimodel Multivariate Function,Math. Program. 34, 188–200.

    Google Scholar 

  6. S.A. Piyavski (1972), An algorithm for Finding the Absolute Extremum of a Function,USSR Comp. and Math. Phys. 12, 57–67.

    Google Scholar 

  7. Bruno O. Shubert (1972), A Sequential Method Seeking the Global maximum of a function,SIAM J. Numer. Anal. 9, 379–388.

    Google Scholar 

  8. Anatoly A Zhigljavsky (1991),Theory of Global Random Search, in J. Pinter (ed.), Mathematics and Its Applications, Kluwer Academic Publishers, Dordrecht, Holland.

    Google Scholar 

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Partially supported by an University of Canterbury Erskine grant.

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Baritompa, W., Cutler, A. Accelerations for global optimization covering methods using second derivatives. J Glob Optim 4, 329–341 (1994). https://doi.org/10.1007/BF01098365

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  • DOI: https://doi.org/10.1007/BF01098365

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