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Abstract: LDRD research activities have focused on increasing the robustness and efficiency of optimization studies for computationally complex engineering problems. Engineering applications can be characterized by extreme computational expense, lack of gradient information, discrete parameters, nonconverging simulations, and nonsmooth, multimodal, and discontinuous response variations. Guided by these challenges, the LDRD research activities have developed application -specific techniques,... (Update)
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.... be used to increase the robustness and efficiency of the iterative analyses for computationally complex engineering problems (see [Eldred, M.S. 1998]) The DAKOTA toolkit is a flexible problem solving environment that offers a systematic way of obtaining iterative solutions...
.... This can happen in engineering design applications that rely on numerical solution techniques that fail to converge at certain design points [8, 9]. Our analysis also extends the model of EPSAs in several ways. First, it allows members of the initial population to lie in R ....
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3: Genetic Algorithms for Navigating Expensive and Complex Design Spaces (context) - Zimmerman - 1996
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BibTeX entry: (Update)
Eldred, M.S., 1998 Optimization Strategies for Complex Engineering Applications, Sandia Technical Report SAND98-0340, Sandia National Laboratories, Albuquerque, NM. http://citeseer.ist.psu.edu/eldred98optimization.html More
@misc{ eldred98optimization,
author = "M. Eldred",
title = "Optimization Strategies for Complex Engineering Applications",
text = "Eldred, M.S., 1998 Optimization Strategies for Complex Engineering Applications,
Sandia Technical Report SAND98-0340, Sandia National Laboratories, Albuquerque,
NM.",
year = "1998",
url = "citeseer.ist.psu.edu/eldred98optimization.html" }
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