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Useful Monte Carlo optimization

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Abstract

This contribution to the debate on Monte Carlo optimization methods shows that there exist techniques that may be useful in many technical applications.

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References

  1. Dickman, B. H., andGilman, M. J.,Monte Carlo Optimization, Journal of Optimization Theory and Applications, Vol. 60, pp. 149–157, 1989.

    Google Scholar 

  2. Kjellström, G.,Optimization of Electrical Networks with Respect to Tolerance Costs, Ericsson Technics, Vol. 3, pp. 157–175, 1970.

    Google Scholar 

  3. Kjellström, G., andTaxén, L.,Stochastic Optimization in System Design, IEEE Transactions on Circuits and Systems, Vol. CAS-28, pp. 702–715, 1981.

    Google Scholar 

  4. Kjellström, G., Taxén, L., andLindberg, P. O.,Discrete Optimization of Digital Filters Using Gaussian Adaptation and Quadratic Function Minimization, IEEE Transactions on Circuits and Systems, Vol. CAS-34, pp. 1238–1242, 1987.

    Google Scholar 

  5. Kirkpatrick, S., Gelatt, C. D., Jr., andVecci, M.,Optimization by Simulated Annealing, Science, Vol. 220, pp. 671–680, 1983.

    Google Scholar 

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Communicated by R. A. Tapia

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Kjellström, G. Useful Monte Carlo optimization. J Optim Theory Appl 69, 185–187 (1991). https://doi.org/10.1007/BF00940468

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