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Empirical Optimization in a Reliability Problem

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Abstract

The optimal spacing of inspections of a parallel system with m components is determined by empirical optimization. The lifetime distributions are general. By means of a heuristic search procedure, the optimal spacing is found for a given database of lifetimes. Usually, the proposed search procedure converges very rapidly. The qualities of the optimum are ascertained by independent replications using simulated lifetime data. The results of extensive experiments are reported and interpreted.

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References

  • U. Grenander, Mathematical Experiments on the Computer, Academic Press: New York, 1982.

    Google Scholar 

  • O. Moeschlin, E. Grycko, C. Pohl, and F. Steinert, Experimental Stochastics, Springer-Verlag: Berlin, 1998.

    Google Scholar 

  • M. F. Neuts, “Computer experimentation in Applied Probability,” Journal of Applied Probability vol. 254 pp. 31-43, 1988.

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  • M. F. Neuts, Algorithmic Probability: A Collection of Problems, Chapman and Hall: New York, NY, 1995.

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Lillo, R.E., Neuts, M.F. Empirical Optimization in a Reliability Problem. Methodology and Computing in Applied Probability 2, 413–424 (2000). https://doi.org/10.1023/A:1010014302439

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  • DOI: https://doi.org/10.1023/A:1010014302439

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