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Abstract: The optimization of noisy or imprecisely specified functions is a common problem occurring in various applications. Models of physical systems can differ according to computational cost, accuracy and precision. In multilevel optimization, where different models of a system are used, there is a great benefit in understanding how many, fast evaluations of limited accuracy may be combined with a few accurate calculations to yield an optimum solution. The combination of different models or levels... (Update)
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BibTeX entry: (Update)
@misc{ genetic-submitted,
author = "Comparison Of Genetic",
title = "Submitted to "Artificial Intelligence in Engineering"",
url = "citeseer.ist.psu.edu/546076.html" }
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